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"It Doesn't Look Good For A Date" Transforming Critiques Into Preferences For Conversational Recommendation Systems
"What Do Others Think?" Task Oriented Conversational Modeling With Subjective Knowledge
(How) Do Reasoning Models Reason?
(QA)2 Question Answering With Questionable Assumptions
1000 Layer Networks For Self Supervised RL Scaling Depth Can Enable New Goal Reaching Capabilities
100 Days After DeepSeek R1 A Survey On Replication Studies And More Directions For Reasoning Language Models
10356_a_path_towards_autonomous_mach
2504.02495 v3
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
A Critical Review of Large Language Models-Sensitivity, Bias, and the Path Toward Specialized AI
A First Look at LLM-Powered Generative News Recommendation
A friendly introduction to Principal Component Analysis _ peterbloem.nl
A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities
A Normative Approach to Radicalization in Social Networks
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction
A semantically enhanced dual encoder for aspect sentiment triplet extraction
A Survey on Concept Drift Adaptation
A Survey on Large Language Models for Recommendation
A_Survey_of_Event_Extraction_From_Text
Abductive Reasoning with the GPT-4 Language Model-Case studies from criminal investigation, medical practice, scientific research
Abg CoQA Clarifying Ambiguity In Conversational Question Answering
Ability of ChatGPT to Screen Articles for Systematic Reviews
A Brief History of Prompt-Leveraging Language Models (Through Advanced Prompting)
Absolute Zero Reinforced Self Play Reasoning With Zero Data
Absolutist AI
Abstention Bench Reasoning LLMs Fail On Unanswerable Questions
Abstract Meaning Representation for Grammatical Error Correction
A Call For Collaborative Intelligence Why Human Agent Systems Should Precede AI Autonomy
Accuracy And Political Bias Of News Source Credibility Ratings By Large Language Models
ACE Abstractions For Communicating Efficiently
A Cognitive Approach To Deception Detection Multimodal Recognition Of Prepared Lies
A Comment On "The Illusion Of Thinking" Reframing The Reasoning Cliff As An Agentic Gap
A Comparative Study On Reasoning Patterns Of OpenAI's o1 Model
A comprehensive analysis of concept drift locality in data streams
A Comprehensive Evaluation Of Inductive Reasoning Capabilities And Problem Solving In Large Language Models
A Comprehensive Review Of AI Based Intelligent Tutoring Systems Applications And Challenges
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
A Comprehensive Survey Of Deep Research Systems, Methodologies, And Applications
A Comprehensive Survey Of Hallucination Mitigation Techniques In Large Language Models
A Comprehensive Survey Of Self Evolving AI Agents A New Paradigm Bridging Foundation Models And Lifelong Agentic Systems
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Taxonomy Of Hallucinations In Large Language Models
A Computational Framework For Behavioral Assessment Of LLM Therapists
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Conversation is Worth a Thousand Recommendations- A Survey of Holistic Conversational Recommender Systems
A Conversation Is Worth a Thousand Recommendations A Survey Of Holistic Conversational Recommender Systems
A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction
Action Transformer- A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Action Based Conversations Dataset A Corpus For Building More In Depth Task Oriented Dialogue Systems
Activation Steering For Chain Of Thought Compression
Active Listening Personalized Question Generation In Open Domain Social Conversation With User Model Based Prompting
Active Promptingwith Chain-of-Thoughtfor Large Language Models
Active Retrieval Augmented Generation
Adaptation Of Agentic AI
Adapter-based Selective Knowledge Distillationfor Federated Multi-domain Meeting Summarization
Adapting LLM Agents With Universal Feedback In Communication
Adaptive Learning Systems Personalized Curriculum Design Using LLM Powered Analytics
Adaptive Retrieval Without Self Knowledge?Bringing Uncertainty Back Home
Adding Conditional Control to Text to Image
Adding Chit Chat To Enhance Task Oriented Dialogues
Addressing Societal Issues in Interactive Digital Narratives
Addressing Social Misattributions Of Large Language Models An HCXAI Based Approach
A Definitionof Continual Reinforcement Learning
A Domain Specific Modeling Language For Multiagent Systems
Advancementsin Scientific Controllable Text Generation Methods
Advances And Challenges In Conversational Recommender Systems A Survey
Advances And Challenges In Foundation Agent From Brain Inspired Intelligence To Evolutionary,Collaborative,And Safe Systems
Advancing Language Model Reasoning Through Reinforcement Learning And Inference Scaling
Advancing LLM Reasoning Generalists With Preference Trees
Advancing Regular Language Reasoningin Linear Recurrent Neural Networks
Adversarial Conversational Shapingfor Intelligent Agents
Adversarial Fine-Tuningof Language Models-An Iterative Optimisation Approachforthe Generationand Detection of Problematic Content
Aether Weaver Multimodal Affective Narrative Co Generation With Dynamic Scene Graphs
A Few Words Can Distort Graphs Knowledge Poisoning Attacks On Graph Based Retrieval Augmented Generation Of Large Language Models
Affective Conversational Agents-Understanding Expectations And Personal Influences
Affect Recognition In Conversations Using Large Language Models
Affordable AI Assistants With Knowledge Graph Of Thoughts
A Framework For Collaborating A Large Language Model Tool In Brainstorming For Triggering Creative Thoughts
Agent As A Judge Evaluate Agents With Agents
Agent Bench-Evaluating LLMsas Agents
Agent Centric Projection Of Prompting Techniques And Implications For Synthetic Training Data For Large Language Models
Agent Coder Multiagent Code Generation With Iterative Testing And Optimisation
Agent Development Kit
Agent Development Kit-LLM-Agents
Agent Development Kit-Multi-Agent-Systems
Agent Fly Fine Tuning LLM Agents Without Fine Tuning LLMs
Agent Gen Enhancing Planning Abilities For Large Language Model Based Agent Via Environment And Task Generation
Agentic Context Engineering Evolving Contexts For Self Improving Language Models
Agentic Design Patterns
Agentic Reasoning For Large Language Models
Agentic Reasoning Reasoning LLMs With Tools For The Deep Research
Agentic Web Weaving The Next Web With AI Agents
Agent Laboratory Using LLM Agents As Research Assistants
Agent Learning Via Early Experience
Agent R Training Language Model Agents To Reflect Via Iterative Self Training
Agent Rxiv Towards Collaborative Autonomous Research
Agents
Agents Multi
Agents-An Open-source Framework for Autonomous Language Agents
Agents,Robots,And Us Skill Partnerships In The Age Of AI
Agent S An Open Agentic Framework That Uses Computers Like A Human
Agents Are Not Enough
Agents Net Coordination And Collaborative Reasoning In Multi Agent LLMs
Agent Verse-Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorsin Agents
Agent Workflow Memory
Agreeingand Disagreeingin Collaborative Knowledge Graph Construction
Agreement Trackingfor Multi-Issue Negotiation Dialogues
A Human Inspired Reading Agent With Gist Memory Of Very Long Contexts
A Hybrid Human AI Approach For Argument Map Creation From Transcripts
A Hybrid Intelligence Method For Argument Mining
A Hybrid RAG Systemwith Comprehensive Enhancement On Complex Reasoning
AI and Education-An Investigation into the Use of ChatGPT for Systems Thinking
AI could create a perfect storm of climate misinformation
AI Imagery and the Overton Window
AI Taxonomy
AI Text-to-behavior-a Study in Steerability
AI Transparency in the Age of LLMs- A Human-Centered Research Roadmap
ai-2027
AI&Human Co Improvement For Safer Co Superintelligence
AI Agents Need Memory Control Over More Context
AI Agents Vs Agentic AIA Conceptual Taxonomy,Applications And Challenges
A I capabil ities c anbe signifi c antly improved w ithoutexpensive re tra ining
AI Companions Reduce Loneliness
AI Compute Architecture And Evolution Trends
AI Deception-A Survey of Examples,Risks,and Potential Solutions
Ai Enters Public Discourse A Habermasian Assessment Of The Moral Status Of Large Language Models
A Iinthe Gray-Exploring Moderation Policiesin Dialogic Large Language Modelsvs.Human Answersin Controversial Topics
AI Meets The Classroom When Does ChatGPT Harm Learning?
AI Models Exceed Individual Human Accuracy In Predicting Everyday Social Norms
A Insight Augmenting Expert Decision Making With On The Fly Insights Grounded In Historical Data
AI Pdfs TOC
AI Powered(Finance)Scholarship
AI Researcher Autonomous Scientific Innovation
AI Tutoring Outperforms In Class Active Learning An RCT Introducing A Novel Research Based Design In An Authentic Educational Setting
Ai Xiv A Next Generation Open Access Ecosystem For Scientific Discovery Generated By AI Scientists
A Large Language Model Enhanced Conversational Recommender System
Algorithmof Thoughts-Enhancing Explorationof Ideas in Large Language Models
Alice In Wonderland Simple Tasks Showing Complete Reasoning Breakdown In State Of The Art Large Language Models
Aligning Language Models To Explicitly Handle Ambiguity
Aligning Language Modelswith Offline Reinforcement Learning from Human Feedback
Aligning LLMs To Ask Good Questions A Case Study In Clinical Reasoning
ALIGN Prompt Based Attribute Alignment For Reliable,Responsible,And Personalized LLM Based Decision Making
A Little Human Data Goes A Long Way
All AI Arxiv quotes
All AI Arxiv quotes_cleaned_with_new3_TOC
All AI PD Fs Titles With Spaces
All It Takes is 20 Questions!- A Knowledge Graph Based Approach
All AI Models Are Wrong,But Some Are Optimal
Alleviatingthe Long-Tail Problemin Conversational Recommender Systems
A Looming Replication Crisis In Evaluating Behavior In Language Models?Evidence And Solutions
Alpha Evolve A Coding Agent For Scientific And Algorithmic Discovery
Alpha Go Moment For Model Architecture Discovery
Alternating Recurrent Dialog Model With Large Scale Pre Trained Language Models
Ambient Adventures-Teaching ChatGPTon Developing Complex Stories
Ambiguity-Aware In-Context Learning with Large Language Models
A Mechanistic Interpretationof Arithmetic Reasoningin Language Modelsusing Causal Mediation Analysis
Amplifying Limitations,Harmsand Risksof LLMs
AM Rs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing
A Multi Facet Paradigm To Bridge Large Language Model And Recommendation
A Multimodal Analysis of Influencer Contenton Twitter
A Multitask,Multilingual,Multimodal Evaluation Of ChatGPT On Reasoning,Hallucination,And Interactivity
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
An Analysis of Twitter Discourse on the War Between Russia and Ukraine
An Interleaving Semantics of the Timed Concurrent Language for Argumentation to Model Debates and Dialogue Games
Analysis oftheevolutionofadvanced Transformer-basedlanguagemodels-experimentson Opinionmining
Analyzingthe Strategyof Propagandausing Inverse Reinforcement Learning-Russian Invasionof Ukraine
Anaphora Resolution The State Of The Art
An Approach To Non Equilibrium Statistical Physics Using Variational Bayesian Inference
A Natural Language Processing Approach Reveals First Person Pronoun Usage And Non Fluency As Markers Of Therapeutic Alliance In Psychotherapy
A Natural Text Parsing-based Framework For Entity Relation Extraction
An Autoethnographic Explorationof XA Iin Algorithmic Composition
An Automatic Graph Construction Framework Based On Large Language Models For Recommendation
An Empirical Studyof Catastrophic Forgettingin Large Language Models During Continual Fine-tuning
An Empirical Study Of GPT 4 o Image Generation Capabilities
An Emulator For Fine Tuning Large Language Models Using Small Language Models
An Ensemble Approach to Personalized Real Time Predictive Writingfor Experts
A New Perspectiveon Evaluation Methodsfor Explainable Artificial Intelligence(XAI)
Anextended Framework For Characterizing Social Robots
Animageisworth 16 x 16 w ords tr ans f ormers f orimage recogn itionat scale
An Interpretability Illusion For BERT
An Investigation Of Robustness Of LLMs In Mathematical Reasoning Benchmarking With Mathematically Equivalent Transformation
An LLM Compilerfor Parallel Function Calling
A Non Factoid Question Answering Taxonomy
An Ontologyof Dark Patterns-Foundations,Definitions,anda Structurefor Transdisciplinary Action
Another Dead End for Morphological Tags? Perturbed Inputs and Parsing
A Novel Modelfor Capturingthe Multiple Representationsduring Team Problem Solvingbasedon Verbal Discussions
An Overview Of Temporal Commonsense Reasoningand Acquisition
Answering Ambiguous Questionswitha Databaseof Questions,Answers,and Revisions
Answering Questions By Meta Reasoning Over Multiple Chains Of Thought
Answer Is All You Need Instruction Following Text Embedding Via Answering The Question
Any-to-Any Generation via Composable Diffusion
A Personalized Recommender Systembased-on Knowledge Graph Embeddings
A Pictureis Wortha Thousand Words
A Polar Coordinate System Represents Syntax In Large Language Models
Apollo’s Oracle Retrieval Augmented Reasoning In Multi Agent Debates
Applicationsof Topic Models
Applyingand Extendingthe XAI estion Bank
Approaching Human-Level Forecastingwith Language Models
Appropriate-Reliance-Lessons-Learned-Published-2025-3-3
A Practical Guide For Designing,Developing,And Deploying Production Grade Agentic AI Workflows
A Practical Guide To Building Agents
A Primer On The Inner Workings Of Transformer Based Language Models
A Probabilistic Modelfor Using Social Networksin Personalized Item Recommendation
A Prompt Pattern Catalogto Enhance Prompt Engineeringwith ChatGPT
A Rank Stabilization Scaling Factorfor Fine-Tuningwith LoRA
Architecting Efficient Context Aware Multi Agent Framework For Production
A Rea LA Large Scale Asynchronous Reinforcement Learning System For Language Reasoning
A Recipe For Annotating Grounded Clarifications
Are Emergent Abilitiesin Large Language Modelsjust In-Context Learning?
Are Emergent Abilities In Large Language Models Just In Context Learning?
Are Emergent Abilities Of Large Language Models A Mirage?
Are LLMs All You Need For Task Oriented Dialogue?
Areyouina Masquerade-Exploringthe Behaviorand Impact of Large Language Model Driven Social Botsin Online Social Networks
ARGS Alignment As Reward Guided Search
Argumentative Large Language Models For Explainable And Contestable Decision Making
Argument Quality Assessment In The Age Of Instruction Following Large Language Models
Argument Summarization And Its Evaluation In The Era Of Large Language Models
A Ripple In Time A Discontinuity In American History
Arithmetic Without Algorithms Language Models Solve Math With A Bag Of Heuristics
A Robustness Evaluation Framework For Argument Mining
Artificial Artificial Artificial Intelligence- Crowd Workers Widely Use Large Language Models for Text Production Tasks
Artificial muses-Chatbots Risento Human Creativity
Artificial Hivemind The Open Ended Homogeneity Of Language Models(and Beyond)
Artificial Intelligence And The Labor Market
Artificial Intelligence Index Report 2025
Artificialintelligenceisineffective andpotentiallyharmful f orfactcheck ing
Art Whisperer- A Dataset for Characterizing Human-AI Interactions in Artistic Creations
Arxiv Titles with Links2.xlsx
A Self Righteous,Not A Virtuous,Circle Proposing A New Framework For Studying Media Effects
A Simple Frameworkfor Contrastive Learningof Visual Repr
𝙻𝙼𝟸 A Simple Society Of Language Models Solves Complex Reasoning
Ask an Expert- Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models
Ask,And It Shall Be Given Turing Completeness Of Prompting
Ask AC An Initiative Advisor In The Loop Actor Critic Framework
Asking Clarifying Questions Based On Negative Feedback In Conversational Search
A Socially Aware Conversational Recommender System For Personalized Recipe Recommendations
A Sociotechnical Perspective For The Future Of AI Narrativesinequalities And Human Control
Aspect-oriented Opinion Alignment Networkfor Aspect-Based Sentiment Classification
Aspect CSE-Sentence Embeddingsfor Aspect-based Semantic Textual Similarity
A Spline Theory Of Deep Networks
ASR and Emotional Speech- A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition
Assessing the Effectiveness of GPT-3 in Detecting False Political Statements- A Case Study on the LIAR Dataset
Assessing Adaptive World Models In Machines With Novel Games
Assessing And Mitigating Data Memorization Risks In Fine Tuned Large Language Models
Assessing Compositionin Sentence Vector Representations
Assessing Guest Nationality Composition from Hotel Reviews
Assessing Peer Award Diversificationon Reddit
Assessment Of Personality Dimensions Across Situations Using Conversational Speech
A Survey Of Calibration Process For Black Box LLMs
A Survey Of Context Engineering For Large Language Models
A Survey Of Continual Reinforcement Learning
A Survey Of Meta Reinforcement Learning
A Survey Of Reinforcement Learning From Human Feedback
A Survey Of Self Evolving Agents On Path To Artificial Super Intelligence
A Survey On Context Aware Multi Agent Systems Techniques,Challenges And Future Directions
A Survey On Diffusion Language Models
A Survey On Knowledge Distillation Of Large Language Models
A Survey on Large Language Modelbased Autonomous Agents
A Survey On Large Language Models With Some Insights On Their Capabilities And Limitations
A Survey On Lexical Ambiguity Detection And Word Sense Disambiguation
A Survey On LLM Inference Time Self Improvement
A Survey On Post Training Of Large Language Models
A Survey On Proactive Dialogue Systems Problems,Methods,And Prospects
A Survey On Prompt Tuning
A Survey On Recent Advances In LLM Based Multi Turn Dialogue Systems
A Survey On Test Time Scaling In Large Language Models What,How,Where,And How Well?
A Systematic Review On The Evaluation Of Large Language Models In Theory Of Mind Tasks
A Task-Interdependency Model Of Complex Collaboration Towards Human-Centered Crowd Work
A Taxonomy Of Empathetic Questions In Social Dialogs
Atesa-bært-aheterogeneousensemblelearning Modelforaspect-basedsentimentanalysis
Athena2.0-Discourseand User Modeling in Open Domain Dialogue
A Theoryfor Emergenceof Complex Skillsin Language Models
Atom Of Thoughts For Markov LLM Test Time Scaling
Atom Searcher Enhancing Agentic Deep Research Via Fine Grained Atomic Thought Reward
A Trade-off-centered Frameworkof Content Moderation
Attacking LLMs And AI Agents Advertisement Embedding Attacks Against Large Language Models
Attack Resiliencein Hate-Speech Detection Models
Attention Is All You Need
Attention Visualizer Package-Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models
Attention,Intentions,And The Structure Of Discourse
Attention Mechanisms Perspective Exploring LLM Processing Of Graph Structured Data
Attentive Reasoning Queries A Systematic Method For Optimizing Instruction Following In Large Language Models
Attribute Controlled Dialogue Prompting
A Tutorial On LLM Reasoning Relevant Methods Behind ChatGPTo1
A Two-Stage Approach to Mitigate Social Biases
Audio LM- a Language Modeling Approach to Audio Generation
Audio Pa LM- A Large Language Model That Can Speak and Listen
Auditing Language Models For Hidden Objectives
Augmented Language Models-A Survey
Augmenting Autotelic Agents With Large Language Models
Augmenting Netflix Searchwith In-Session Adapted Recommendations
A Unified Multi Task Learning Framework For Multi Goal Conversational Recommender Systems
Auto CBT An Autonomous Multi Agent Framework For Cognitive Behavioral Therapy In Psychological Counseling
Auto Conv-Automatically Generating Information-seeking Conversationswith Large Language Models
AutoGen-Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Auto GLM Autonomous Foundation Agents For GU Is
Automated Design Of Agentic Systems
Automated Intervieweror Augmented Survey?Collecting Social Datawith Large Language Models
Automated Social Science Language Models As Scientist And Subjects
Automatic Chain of Thought Prompting in Large Language Models
Automatic Translation of Hate Speech to Non-hate Speech in Social Media Texts
Automatically Correcting Large Language Models Surveying The Landscape Of Diverse Self Correction Strategies
Automatic Extraction Of Metaphoric Analogies From Literary Texts Task Formulation,Dataset Construction,And Evaluation
Automatic Prompt Augmentationand Selectionwith Chain-of-Thought from Labeled Data
Automatic Prompt Optimization With"Gradient Descent"And Beam Search
Auto Prompt Eliciting Knowledge From Language Models With Automatically Generated Prompts
Autotelic Agents With Intrinsically Motivated Goal Conditioned Reinforcement Learning A Short Survey
Ax Bench Steering LLMs?Even Simple Baselines Outperform Sparse Autoencoders
Backtracing Retrieving The Cause Of The Query
Base Models Know How To Reason,Thinking Models Learn When
Bayesian Flow Networks
Bayesian Social Learning from Consumer Reviews
Beginner’s Guideto Critical Ingredientsfor Designing Effective Conversational Systems
Behavioral Exploration Learning To Explore Via In Context Adaptation
Being Right for Whose Right Reasons?
Benchmarking Floworks Against OpenAI&Anthropic A Novel Framework For Enhanced LLM Function Calling
Benchmarking LLMpowered Chatbots-Methodsand Metrics
Benchmarking The Pedagogical Knowledge Of Large Language Models
Benchmarking Zero Shot Text Classification Datasets,Evaluation And Entailment Approach
Best Practices And Lessons Learned On Synthetic Data For Language Models
Better Alignment With Instruction Back And Forth Translation
Better Handling Coreference Resolutionin Aspect Level Sentiment Classification
Better Rewards Yield Better Summaries Learning To Summarise Without References
Better Zero-Shot Reasoningwith Role-Play Prompting
Between Circuits And Chomsky Pre Pretraining On Formal Languages Imparts Linguistic Biases
Between Underthinking And Overthinking An Empirical Study Of Reasoning Length And Correctness In LLMs
Beyond Traditional Feedback Channels- Extracting Requirements-Relevant Feedback from Tik Tok and YouTube
Beyond"Not Novel Enough"Enriching Scholarly Critique With LLM Assisted Feedback
Beyond Accuracy Behavioral Testing Of NLP Models With Check List
Beyond Accuracy Evaluating The Reasoning Behavior Of Large Language Models A Survey
Beyond Accuracy The Role Of Calibration In Self Improving Large Language Models
Beyond Answers How LLMs Can Pursue Strategic Thinking In Education
Beyond Binary Rewards Training L Ms To Reason About Their Uncertainty
Beyond Brainstorming What Drives High Quality Scientific Ideas?Lessons From Multi Agent Collaboration
Beyond Context Limits Subconscious Threads For Long Horizon Reasoning
Beyond Discrete Personas Personality Modeling Through Journal Intensive Conversations
Beyond GPT 5 Making LLMs Cheaper And Better Via Performance Efficiency Optimized Routing
Beyond Hallucinations The Illusion Of Understanding In Large Language Models
Beyond Neural Scaling Laws Beating Power Law Scaling Via Data Pruning
Beyond Passive Critical Thinking Fostering Proactive Questioning To Enhance Human AI Collaboration
Beyond Preferences In AI Alignment
Beyond Prompt Induced Lies Investigating LLM Deception On Benign Prompts
Beyond Reward Hacking Causal Rewards For Large Language Model Alignment
Beyond Scaling Law A Data Efficient Distillation Framework For Reasoning
Beyond Semantics The Unreasonable Effectiveness Of Reasonless Intermediate Tokens
Beyond Single Models Enhancing LLM Detection Of Ambiguity In Requests Through Debate
Beyond Surface Statistics-Scene Representationsina Latent Diffusion Model
Beyond Ten Turns Unlocking Long Horizon Agentic Search With Large Scale Asynchronous RL
Beyond The 80:20 Rule High Entropy Minority Tokens Drive Effective Reinforcement Learning For LLM Reasoning
Beyond The Exploration Exploitation Trade Off A Hidden State Approach For LLM Reasoning In RLVR
Beyond The Last Answer Your Reasoning Trace Uncovers More Than You Think
Beyond The Surface Probing The Ideological Depth Of Large Language Models
Beyond The Trade Off Self Supervised Reinforcement Learning For Reasoning Models'Instruction Following
Beyond Turing Memory Amortized Inference As A Foundation For Cognitive Computation
Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks
Bidirectional End-to-End Learningof Retriever-Reader
Bigger Is Not Always Better The Importance Of Human Scale Language Modeling For Psycholinguistics
Billion-scale Commodity Embeddingfor E-commerce Recommendationin Alibaba
Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks- Motivations and Formal Specifications
Bloomberg GPT-A Large Language Model for Finance
BNS-Net-A Dual-channel Sarcasm Detection Method Considering Behavior-leveland Sentence-level Conflicts
Boosted Prompt Ensembles For Large Language Models
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
Boosting Logical Reasoningin Large Language Modelsthrougha New Framework-The Graphof Thought
Bottom Up Domain Specific Superintelligence A Reliable Knowledge Graph Is What We Need
Boundless Socratic Learning With Language Games
Bounds Of Chain Of Thought Robustness Reasoning Steps,Embed Norms,And Beyond
Branch Solve Merge Improves Large Language Model Evaluation And Generation
Branch Train Mi X Mixing Expert LLMsintoa Mixture Of Experts LLM
Break It Down Evidence For Structural Compositionality In Neural Networks
Break The Chain Large Language Models Can Be Shortcut Reasoners
Bridging Offline And Online Reinforcement Learning For LLMs
Bridging The Gulf Of Envisioning Cognitive Design Challenges In Llm Interfaces
BTLUI Blink Think Link Reasoning Model For GUI Agent
Building Decision Making Models Through Language Model Regime
Building And Evaluating Open Domain Dialogue Corpora With Clarifying Questions
Building A Stronger CASA Extending The Computers Are Social Actors Paradigm
Building Cooperative Embodied Agents Modularly With Large Language Models
Building Emotional Support Chatbotsinthe Eraof LLMs
Building Persona Consistent Dialogue Agents With Offline Reinforcement Learning
Building Socio-culturally Inclusive Stereotype Resourceswith Community Engagement
Building Trustin Conversational AI-A Comprehensive Reviewand Solution Architecturefor Explainable,Privacy-Aware Systemsusing LLMsand Knowledge Graph
Byte Latent Transformer Patches Scale Better Than Tokens
C 3-Zero-shot Text-to-SQ Lwith ChatGPT
Calibrated Recommendations
Calibrated Recommendationsfor Userswith Decaying Attention
CAMEL Communicative Agents For"Mind"Exploration Of Large Language Model Society
CAMEL Communicative Agents For“Mind”Exploration Of Large Language Model Society
Can large language models explore in-context?
Can Large Language Models Reason and Plan?
Can AI Explanations Make You Change Your Mind?
Can AI Have A Personality?Prompt Engineering For AI Personality Simulation A Chatbot Case Study In Gender Affirming Voice Therapy Training
Can An LLM Powered Socially Assistive Robot Effectively And Safely Deliver Cognitive Behavioral Therapy?A Study With University Students
Can Authorship Representation Learning Capture Stylistic Features?
Can Instruction Fine-Tuned Language Models Identify Social Biasthrough Prompting
Can I Trust You?LLMsasconversational Agents
Can l anguage modelslearn fromexplan ations incontext?
Can Language Models Recognize Convincing Arguments?
Can Language Models Represent The Past Without Anachronism?
Can Language Models Serve As Text Based World Simulators?
Can Language Models Solve Graph Problems In Natural Language?
Can Large Language Models Capture Human Annotator Disagreements?
Can Large Language Models Develop Strategic Reasoning?Post Training Insights From Learning Chess
Can Large Language Models Do Analytical Reasoning?
Can Large Language Models Infer Causation From Correlation?
Can Large Language Models Make The Grade?An Empirical Study
Can Large Language Models Perform Relation Based Argument Mining?
Can Large Language Models Really Improve By Self Critiquing Their Own Plans?
Can Large Language Models Reason And Plan?
Can Large Language Models Transform Computational Social Science?
Can Large Language Models Understand Context?
Can Large Reasoning Models Self Train?
Can LLM Be A Personalized Judge?
Can LLMs Assist With Ambiguity?A Quantitative Evaluation Of Various Large Language Models On Word Sense Disambiguation
Can LLMs Follow Simple Rules?
Can LLMs Generate Novel Research Ideas?A Large Scale Human Study With 100+NLP Researchers
Can LLMs Ground When They(Don't)Know A Study On Direct And Loaded Political Questions
Can Long Context Language Models Subsume Retrieval,RAG,SQL,And More?
Can Machines Think Like Humans?A Behavioral Evaluation Of LLM Agents In Dictator Games
Can NLP Models‘identify’,‘d ist ingu ish’,and‘justify’questions th at Don’thavea Definitive Answer?
Can Robots Do Therapy?Examining The Efficacy Of ACBT Bot In Comparison With Other Behavioral Intervention
Can Theoretical Physics Research Benefit From Language Agents?
Can Transformers Learn To Solve Problems Recursively?
Cant Talk About This Aligning Language Models To Stay On Topic In Dialogues
Canvil-Designerly Adaptationfor LLM-Powered User Experiences
Can You Trust LLM Judgments?Reliability Of LLM As A Judge
CARCA-Context and Attribute-Aware Next-Item Recommendation via Cross-Attention
Cascaded Diffusion Models for High Fidelity Image Generation
Categorical Deep Learning An Algebraic Theory Of Architectures
Cats Confuse Reasoning LLM Query Agnostic Adversarial Triggers For Reasoning Models
Causal interventions expose implicit situation models for commonsense language understanding
Causal Claims In Economics
Causal Influencesover Social Learning Networks
Causallyestimatingtheeffectof YouTube’srecommendersystem usingcounterfactualbots
Causal Reflection With Language Models
Causal Sufficiency And Necessity Improves Chain Of Thought Reasoning
Caus E-Towards Causal Knowledge Graph Embedding
CDW Co T Clustered Distance Weighted Chain Of Thoughts Reasoning
celebrity influence on public attitude towards COVID- 19-social media
CEO Corpus Based Open Domain Event Ontology Induction
CGMI-Configurable General Multi-Agent Interaction Framework
Chain-of-thought Reasoning is a Policy Improvement Operator
Chain-of-verificationreduceshallucination Inlargelanguagemodels
Chain Forge-A Visual Toolkitfor Prompt Engineeringand LLM Hypothesis Testing
Chain Of Draft Thinking Faster By Writing Less
Chain Of Note Enhancing Robustness In Retrieval Augmented Language Models
Chain Of Questions Training With Latent Answers For Robust Multistep Question Answering
Chain Of Reasoning Towards Unified Mathematical Reasoning In Large Language Models Via A Multi Paradigm Perspective
Chain Of Retrieval Augmented Generation
Chain Of Stance Stance Detection With Large Language Models
Chain Of Thought Is Not Explainability
Chain Of Thoughtlessness?An Analysis Of Co T In Planning
Chain Of Thought Monitorability A New And Fragile Opportunity For AI Safety
Chainof Thought Prompting Elicits Knowledge Augmentation
Chain Of Thought Reasoning Without Prompting
Chain Of Verification Reduces Hallucination In Large Language Models
Challengesand Applicationsof Large Language Models
Challengesandopportunitiesofusing Transformer-basedmulti-tasklearninginnlp Throughmllifecycle-asurvey
Challengesin Domain-Specific Abstractive Summarization
Challengesof GPT-3-based Conversational Agentsfor Healthcare
Challenges Of Large Language Models For Mental Health Counseling
Chamain Harmonizing Character Persona Integrity With Domain Adaptive Knowledge In Dialogue Generation
Changesin Policy Preferencesin German Tweetsduringthe COVID Pandemic
Chapter-Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming
Character Chat-Learningtowards Conversational AI with Personalized Social Support
Character Is Destiny Can Role Playing Language Agents Make Persona Driven Decisions?
Characterizing Deep Research A Benchmark And Formal Definition
Characterizing Learning Curves During Language Model Pre-Training-Learning,Forgetting,and Stability
Characterizing Online Discussion Using Coarse Discourse Sequences
Chart2Vec- A Universal Embedding of Context-Aware Visualizations
Chatbot Arena An Open Platform For Evaluating LLMs By Human Preference
Chatbots In Knowledge Intensive Contexts Comparing Intent And LLM Based Systems
Ch atbotsupp ortexpl ora t orys oftw aretest ing
Chatbot Vs Human The Impact Of Responsive Conversational Features On Users’Responses To Chat Advisors
Chat Eval Towards Better LLM Based Evaluators Through Multi Agent Debate
ChatGPT - NVC the Nonviolent Chat
ChatGPT - Will2 NVC
ChatGPT an ENFJ, Bard an ISTJ- Empirical Study on Personalities of Large Language Models
ChatGPT is bullshit
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models
ChatGPT is not Enough- Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
ChatGPT towards AI subjectivity
ChatGPT vs Human-authored Text- Insights into Controllable Text Summarization and Sentence Style Transfer
ChatGPT-deconstructing the debate and moving it forward
ChatGPTas Data Augmentationfor Compositional Generalization-A Case Studyin Open Intent Detection
ChatGPT As Text Annotation Tool For Sentiment Analysis
ChatGPT Doesn’t Trust Chargers Fans Guardrail Sensitivity In Context
ChatGPT Reads Your Tone And Responds Accordingly Until It Does Not Emotional Framing Induces Bias In LLM Outputs
ChatGPT’s Responses Boost Traditional NLP
Checklists Are Better Than Reward Models For Aligning Language Models
Check That-Classification Uncertainty Using Model Souping
Choose A Design Pattern For Your Agentic AI System
Choosing the Right Weights- Balancing Value, Strategy, and Noise in Recommender Systems
Chunk,Align,Select-A Simple Long-sequence Processing Methodfor Transformers
CIDER-Contextsensitivesentimentanalysisfor short-formtext
C La Ra Bridging Retrieval And Generation With Continuous Latent Reasoning
Clarifying The Path To User Satisfaction An Investigation Into Clarification Usefulness
Classical Out-of-Distribution Detection Methods
Classificationof Human-and AI-Generated Texts- Investigating Featuresfor ChatGPT
Classifier Free Diffusion Guidance
Classifying YouTube Comments Based on Sentiment and Type of Sentence
Claude system prompt
Clickbait Detection via Large Language Models
Clickbait Classificationand Spoiling Using Natural Language Processing
Climbing Towards NLU On Meaning,Form,And Understanding In The Age Of Data
CLINA Continually Learning Language Agent For Rapid Task Adaptation And Generalization
Clo Chat Understanding How People Customize,Interact,And Experience Personas In Large Language Models
Closing the Loop- Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media
Clustering Based Sampling For Few Shot Cross Domain Keyphrase Extraction
Co-Designwith Myself-A Brain-Computer Interface Design Tool
Codegen- AN Open Large Language Model for Code With Multi-turn Program Synthesis
Code Llama-Open Foundation Modelsfor Code
Coding Dialogs With The DAMSL Annotation Scheme
Cog Bench A Large Language Model Walks Into A Psychology Lab
Cognitive Architecturesfor Language Agents
Cognitive Chain Of Thought Structured Multimodal Reasoning About Social Situations
Cognitive Effectsin Large Language Models
Col BERT-Eficientand Efective Passage Searchvia Contextualized Late Interactionover BERT
Collab LLM From Passive Responders To Active Collaborators
Collaboration Conundrum- Synchrony-Cooperation Trade-off
Collaborative Recommendation Model Based on Multi-modal Multi-view Attention Network- Movie and literature cases
Collaborative Deep Learning for Recommender Systems
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
Collaborative Filtering Bandits
Collaborative Filteringfor Implicit Feedback Datasets
Collaborative Filteringwith Temporal Dynamics
Collaborative Human-LM Generated Dialoguesfor Human-Human Conversations
Collaborative Rational Speech Act Pragmatic Reasoning For Multi Turn Dialog
Collaborative Reasoner Self Improving Social Agents With Synthetic Conversations
Co LLM Integrating Collaborative Embeddings Into Large Language Models For Recommendation
Command A An Enterprise Ready Large Language Model
Comment On The Illusion Of Thinking Understanding The Strengths And Limitations Of Reasoning Models Via The Lens Of Problem Complexity
Community Notes Did Not Reduce Engagement With Misinformation
Como RAGA Cognitive Inspired Memory Organized RAG For Stateful Long Narrative Reasoning
Compar ingan androidhead w ith itsdig italtw in regard ing thedynamicexpression ofemotions
Comparing Applesto Apples Generating Aspect-Aware Comparative Sentencesfrom User Reviews
Comparing Emotion Feature Extraction Approaches For Predicting Depression And Anxiety
Comparing Howa Chatbot References User Utterancesfrom Previous Chatting Sessions
Comparing Social Network Dynamic Operators
COMPASS Computational Mapping Of Patient Therapist Alliance Strategies With Language Modeling
Competitive Programming With Large Reasoning Models
Complexity-based Prompting For Multi-step Reasoning
Complex Logical Instruction Generation
Compositional Visual Generation with Composable Diffusion Models
Compositional Reasoning With Transformers,RN Ns,And Chain Of Thought
Comprehension Without Competence Architectural Limits Of LLMs In Symbolic Computation And Reasoning
Compress To Impress Unleashing The Potential Of Compressive Memory In Real World Long Term Conversations
Computational Modelingof Meaning
Computational Modelling Of Undercuts In Real World Arguments
Computers Are Sometimes Distinct And Social Actorsresponses To Opinion Conformity From Humans And Computers
Computer Says“No”The Case Against Empathetic Conversational AI
Computing Cultures- Historical and Philosophical Perspectives
Concept-Oriented Deep Learning with LLMs
CONCEPTBED- Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Conceptual Design Generation Using Large Language Models
Conceptual Design Generation Using Large Language Models
Concise Answers to Complex Questions- Summarization of Long-form Answers
Conditional Graph Attention Networksfor Knowledge Graphsin Recommendation
Con KI-Contrastive Knowledge Injectionfor Multimodal Sentiment Analysis
Connecting Everyday Objectswiththe Metaverse-A Unified Recognition Framework
Connectingthe Dotsin News Analysis-A Cross-Disciplinary Survey of Media Biasand Framing
Connecting The Dots LLMs Can Infer And Verbalize Latent Structure From Disparate Training Data
CONSCENDIA Contrastive And Scenario Guided Distillation Approach To Guardrail Models For Virtual Assistants
Consciousnessin Artificial Intelligence-Insights fromthe Scienceof Consciousness
Considering The Context To Build Theory In HCI,HRI,And HMC Explicating Differences In Processes Of Communication And Socialization
Consistency Models Made Easy
Consistency Training Helps Stop Sycophancy And Jailbreaks
Consistent Explainers Or Unreliable Narrators?Understanding LLM Generated Group Recommendations
Consistently Simulating Human Personas With Multi Turn Reinforcement Learning
Constants Across Cultures In The Face And Emotion
Constitutional AI Harmlessnessfrom AI Feedback
Content Aware Collaborative Music Recommendation Using Pretrained Neural Networks
Context-Aware Transformer Pre-Training for Answer Sentence Selection
Context-Aware Service Recommendation Systemforthe Social Internetof Things
Context-PEFT-Efficient Multi-Modal,Multi-Task Fine-Tuning
Context Embeddings For Efficient Answer Generation In RAG
Context Tuningfor Retrieval Augmented Generation
Contextual Knowledge Learning For Dialogue Generation
Continual Instruction Tuning For Large Multimodal Models
Continual Learningvia Local Module Composition
Continual Pre-Trainingof Large Language Models-Howto(re)warmyour model?
Contrast Is All You Need
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines
Contrastive Learning for Recommendationin Fashion
Contrastive Representation Learning-A Frameworkand Review
Contrastive Trainingfor Context Scaling
Controllable Generation of Dialogue Actsfor Dialogue Systemsvia Few-Shot Response Generationand Ranking
Controlled Text Generation with Hidden Representation Transformations
Controlling Linguistic Style Aspectsin Neural Language Generation
CONTROLPREFIXE Sfor Parameter-Efficient Text Generation
Converging Paradigms The Synergy Of Symbolic And Connectionist AI In LLM Empowered Autonomous Agents
Conversation Derailment Forecasting with Graph Convolutional Networks
Conversational AI as a Threat to Epistemic Agency
Conversational Design_Erika_Hall
Conversational DNAA New Visual Language For Understanding Dialogue Structure In Human And AI
Conversational Graph Grounded Policy Learning For Open Domain Conversation Generation
Conversational Prompt Engineering
Conversational Recommendation-A Grand AI Challenge
Conversational Semantic Parsing For Dialog State Tracking
Conversation Chronicles Towards Diverse Temporal And Relational Dynamics In Multi Session Conversations
Conversations Gone Awry Detecting Early Signs Of Conversational Failure
Conv GQR- Generative Query Reformulation for Conversational Search
Convoifilter-acasestudyofdoingcocktailpartyspeechrecognition
Convolutional Neural Networksfor Sentiment Analysis
Copyisallyouneed
Correct Semanticsfrom Corrupt Subwordsunder Noise
Co SQLA Conversational Text To SQL Challenge Towards Cross Domain Natural Language Interfaces To Databases
Costello Pennycook Rand_Conspiracy Reduction with AI
Co T Is Not True Reasoning,It Is Just A Tight Constraint To Imitate A Theory Perspective
Co T Self Instruct Building High Quality Synthetic Prompts For Reasoning And Non Reasoning Tasks
Could You Be Wrong Debiasing LLMs Using A Metacognitive Prompt For Improving Human Decision Making
Counterfactualmethodforaspect-basedsentimentanalysis
Coupling LLMs Logic Programming for Robust General Reasoning
CP Net- Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation
Creating Design Resources to Scafold the Ideation of AI Concepts
Creat inguser stereotypes f orpersona development
Creative And Strategic Capabilities Of Generative AI
Creative And Strategic Capabilities Of Generative AI Evidence From Large Scale Experiments
Creativity Has Left The Chat The Price Of Debiasing Language Models
Credit Assignment-Challengesand Opportunitiesin Human-like AI Agents
Critical Questions Of Thought Steering LLM Reasoning With Argumentative Querying
Critique Fine Tuning Learning To Critique Is More Effective Than Learning To Imitate
Critique GRPO Advancing LLM Reasoning With Natural Language And Numerical Feedback
Critiques Of World Models
CRM Arena Pro Holistic Assessment Of LLM Agents Across Diverse Business Scenarios And Interactions
Cross-Genre Argument Mining- Can Language Models Automatically Fill in Missing Discourse Markers?
Crossing The Reward Bridge Expanding RL With Verifiable Rewards Across Diverse Domains
Cross Talk-Intelligent Substratesfor Language-Oriented Interactionin Video-Based Communicationand Collaboration
Cue Co T Chain Of Thought Prompting For Responding To In Depth Dialogue Questions With LLMs
Cultivated Practicesof Text-to-Image Generation
Cultural Evolution Of Cooperation Among LLM Agents
Cumulated Gain-Based Evaluation of IR Techniques
Cumulative Reasoning With Large Language Models
Cura-Curationat Social Media Scale
CURIOUS Intrinsically Motivated Modular Multi Goal Reinforcement Learning
Curse of “Low” Dimensionality in Recommender Systems
DADIN- Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems
DAPIE Interactive Step By Step Explanatory Dialogues To Answer Children’s Why And How Qestions
DAPO An Open Source LLM Reinforcement Learning System At Scale
DA Prompt-Deterministic Assumption Prompt Learning for Event Causality Identification
Darwin Godel Machine Open Ended Evolution Of Self Improving Agents
Data Annotation With Large Language Models Lessons From A Large Empirical Evaluation
Data Comp LM In Search Of The Next Generation Of Training Sets For Language Models
Dataflow Dialogue Generation
DATATALES-Investigatingtheuseof Large Language Models for Authoring Data-Driven Articles
Deal,Or No Deal(or Who Knows)?Forecasting Uncertainty In Conversations Using Large Language Models
DEAM Dialogue Coherence Evaluation Using AMR Based Semantic M Anipulations
Debating With More Persuasive Llms Leads To More Truthful Answers
DECENTRALISEDQ-LEARNINGFORMULTI-AGENTMARKOV Dec ision processes w itha s at isfiabil ity cr iterion
Decep Chain Inducing Deceptive Reasoning In Large Language Models
Deciphering Public Perceptionof A Ithrough Social Media Analysis
Deciphering The Factors Influencing The Efficacy Of Chain Of Thought Probability,Memorization,And Noisy Reasoning
Decision-Oriented Dialogue for Human–AI Collaboration
Decision Transformer Reinforcement Learning Via Sequence Modeling
Decoding the Popularity of TV Series- A Network Analysis Perspective
Decoding ChatGPT-A Taxonomyof Existing Research,Current Challenges,and Possible Future Directions
Decoding Layer Saliencyin Language Transformers
DECODINGTRUST- A Comprehensive Assessment of Trustworthiness in GPT Models
Decomposed Prompting A Modular Approach For Solving Complex Tasks
Decoupling Knowledge And Reasoning In LLMs An Exploration Using Cognitive Dual System Theory
DEEM Dynamic Experienced Expert Modeling For Stance Detection
Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction
Deep Language Networks- Joint Prompt Training of Stacked LLMs using Variational Inference
Deep CT Enhanced Lexical Argument Retrieval
Deep Dive Advancing Deep Search Agents With Knowledge Graphs And Multi Turn RL
Deep Gesture A Conversational Gesture Synthesis System Based On Emotions And Semantics
Deep Interest Networkfor Click-Through Rate Prediction
Deep Learning-Based Knowledge Injectionfor Metaphor Detection-A Comprehensive Review
Deep Net Scaling Transformers To 1,000 Layers
Deep Neural Network Approach For The Dialog State Tracking Challenge
Deep Neural Networkfor Fake News Detection
Deep Neural Networksfor YouTube Recommendations
Deep RAG Thinking To Retrieval Step By Step For Large Language Models
Deep Research A Systematic Survey
Deep Researcher Scaling Deep Research Via Reinforcement Learning In Real World Environments
Deep Researcher With Test Time Diffusion
Deep Research Gym A Free,Transparent,And Reproducible Evaluation Sandbox For Deep Research
Deep Retrieval-Learning A Retrievable Structurefor Large-Scale Recommendations
DeepSeek R1 Incentivizing Reasoning Capability In LLMs Via Reinforcement Learning
DeepSeek R1 Thoughtology Let's Think About LLM Reasoning
DeepSeek V 3.2 Pushing The Frontier Of Open Large Language Models
Deep Social Neuroscience The Promise And Peril Of Using Artificial Neural Networks To Study The Social Brain
Deep Speed-Chat-Easy,Fastand Affordable RLHF Trainingof ChatGPT-like Modelsat All Scales
Deep Think With Confidence
DEKGCI-A double-sided recommendation model
De LLMa Decision Making Under Uncertainty With Large Language Models
Demand effects of product similarity network in e‑commerce platform
Demonstrate Search Predict Composing Retrieval And Language Models For Knowledge Intensive NLP
Demystifying Chains,Trees,And Graphs Of Thoughts
Demystifying Reasoning Dynamics With Mutual Information Thinking Tokens Are Information Peaks In LLM Reasoning
Denoised Self-Augmented Learning for Social Recommendation
Dense Retrieval Adaptationusing Target Domain Description
Densest Subgraph Discoveryon Large Graphs
DERA Enhancing Large Language Model Completions With Dialog Enabled Resolving Agents
Designfor Voice Interfaces_Laura_Klein
Designing AI Personalities Enhancing Human Agent Interaction Through Thoughtful Persona Design
Designingand Evaluating Presentation Strategiesfor Fact-Checked Content
Design Principles For Generative AI Applications
Detecting Human Rights Violations on Social Media during Russia-Ukraine War
Detecting Cognitive Distortions From Patient Therapist Interactions
Detecting Deception Using Natural Language Processing And Machine Learning In Datasets On COVID 19 And Climate Change
Detecting Hallucinations In Large Language Models Using Semantic Entropy
Detect ing l anguagemodel attacksw ith perplex ity
Detecting The Corruption Of Online Questionnaires By Artificial Intelligence
Determinants Of LLM Assisted Decision Making
Detoxify Language Model Step-by-Step
Developing Effective Educational Chatbots with ChatGPT prompts- Insights from Preliminary Tests in a Case Study on Social Media Literacy
Development in times of hype - How freelancers explore Generative AI?
Diact TOD-Learning Generalizable Latent Dialogue Actsfor Controllable Task-Oriented Dialogue Systems
Diag GPT-An LLM-based Chatbotwith Automatic Topic Managementfor Task-Oriented Dialogue
Diagnosing Memorization In Chain Of Thought Reasoning,One Token At A Time
Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine
Dialoging Resonance-How Users Perceive,Reciprocateand Reactto Chatbot
Dialog Inpainting Turning Documents Into Dialogs
Dialogizer Context Aware Conversational QA Dataset Generation From Textual Sources
Dialog Studio-Towards Richestand Most Diverse Unified Dataset Collectionfor Conversational AI
Dialogue Reason Rule Based RL Sparks Dialogue Reasoning In LLMs
Dialogue State Tracking With A Language Model Using Schema Driven Prompting
Dialogue Systemfor Assessing Activitiesof Daily Living
Dialogue Transformers
Dia Synth Synthetic Dialogue Generation Framework For Low Resource Dialogue Applications
Diff Blender- Scalable and Composable Multimodal Text-to-Image Diffusion Models
Diffedit-diffusion-basedsemanticimageeditingwithmaskguidance
Different Gamesin Dialogue-Combiningcharacterandconversational types
Diff Net++A Neural Influenceand Interest Diffusion Networkfor Social Recommendation
Diffusion Models Beat GA Ns on Image Synthesis
Diffusion l anguage models c anper f ormm any TASKSWITHSCALINGANDINSTRUCTION-FINETUNING
Diffusion Language Models Know The Answer Before Decoding
Diffusion LLMs Can Do Faster Than AR Inference Via Discrete Diffusion Forcing
Diffusion LM Improves Controllable Text Generation
Diffusion Models Are Evolutionary Algorithms
Diplomat- A Dialogue Dataset for Situated Prag MA Tic Reasoning
Direct Language Model Alignment from Online AI Feedback
Direct Preference Optimization Your Language Model Is Secretly A Reward Model
Disco-Bench--A Discourse-Aware Evaluation Benchmarkfor
Discourse Level Representations Can Improve Prediction Of Degree Of Anxiety
Discourse Structure And Dialogue Acts In Multiparty Dialogue The STAC Corpus
D isc over ing collective narr ativesshifts inonl ine d iscussions
Discoveringlanguagemodelbehaviorswithmodel-writtenevaluations
Discovering Latent Concepts Learned In BERT
Discovering User Types-Mapping User Traitsby Task-Specific Behaviors
Discursive Socratic Questioning Evaluating The Faithfulness Of Language Models’Understanding Of Discourse Relations
Discuss LLM Teaching Large Language Models When To Speak
Disentangling and Operationalizing AI Fairness at Linked In
Disinformation,Stochastic Harm,and Costly Effort-Regulating Social Media
Disinformation Echo-chamberson Facebook
Dissecting Recall Of Factual Associations In Auto Regressive Language Models
Dissociating Language And Thought In Large Language Models
Dissociating Language And Thought In Large Language Models A Cognitive Perspective
Distilling Llms’Decomposition Abilities Into Compact Language Models
d istributionof d iscourse rel ations w ith in and across turns
Diversityand Language Technology-How Techno-Linguistic Bias Can Cause Epistemic Injustice
Diversity Serendipity Noveltyand Coverage-A Surveyand Empirical Analysis of Beyond-Accuracy Objectivesin Recommender Systems
Divide Or Conquer?Which Part Should You Distill Your LLM?
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SOCKET Benchmark
Do prompt-based models really understand the meaning of their prompts?
Do As I Can Not As I Say Grounding Languagein Robotic Affordances
DOC-Improving Long Story Coherence With Detailed Outline Control
Docllm-A Layout Aware Generative Language Modelfor Multimodal Document Understanding
Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
Docprompt-large-scalecontinuepretrain Forzero-shotandfew-shotdocumentquestionanswering
Document AI-A Comparative Studyof Transformer-Based, Graph-Based Models,and Convolutional Neural Networks For Document Layout Analysis
Does ChatGPT have Theory of Mind?
Does Fine Tuning LLMs On New Knowledge Encourage Hallucinations?
Does It Make Sense To Speak Of Introspection In Large Language Models?
Does Reinforcement Learning Really Incentivize Reasoning Capacity In LLMs Beyond The Base Model?
Does Thinking More Always Help?Understanding Test Time Scaling In Reasoning Models
Do I Know This Entity?Knowledge Awareness And Hallucinations In Language Models
Doing Personal LAPSLLM Augmented Dialogue Construction For Personalized Multi Session Conversational Search
Do Language Models Refer?
Do Language Models Understand Time?
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Do Large Language Models Latently Perform Multi Hop Reasoning?
Do Large Language Models Perform Latent Multi-Hop Reasoningwithout Exploiting Shortcuts?
Do Large Language Models Reason Causally Like Us?Even Better?
Do Large Language Models Resemble Humans In Language Use?
Do Large Language Models Understand Conversational Implicature
Do LLMs Exhibit Human Like Reasoning?Evaluating Theory Of Mind In LLMs For Open Ended Responses
Do LLMs Possessa Personality?Makingthe MBTI Testan Amazing Evaluationfor Large Language Models
Do LLMs Produce Texts With"human Like"Lexical Diversity?
Do LLMs Truly Understand When A Precedent Is Overruled?
Domain Specialization As The Key To Make Large Language Models Disruptive A Comprehensive Survey
Domain Specific Question Answering With Hybrid Search
Do Models Explain Themselves?Counterfactual Simulatability Of Natural Language Explanations
Do Models Really Learn To Follow Instructions?An Empirical Study Of Instruction Tuning
Do Multilingual Language Models Think Betterin English?
Don't"Overthink"Passage Reranking Is Reasoning Truly Necessary?
Don't Hallucinate,Abstain Identifying LLM Knowledge Gaps Via Multi LLM Collaboration
Do Response Selection Models Really Know What's Next?Utterance Manipulation Strategies
Do Role Playing Agents Practice What They Preach?Belief Behavior Consistency In LLM Based Simulations Of Human Trust
Do Theory Of Mind Benchmarks Need Explicit Human Like Reasoning In Language Models?
Do We Trust ChatGPTas Muchas Google Search And Wikipedia?
Doyoureallyfollowme?Adversarial Instructionsfor Evaluatingthe Robustnessof Large Language Models
DPMT Dual Process Multi Scale Theory Of Mind Framework For Real Time Human AI Collaboration
DR-HAI Argumentation-based Dialectical Reconciliationin Human-AI
DRAGIN Dynamic Retrieval Augmented Generation Based On The Information Needs Of Large Language Models
Dream Booth-Fine Tuning Text-to-Image Diffusion Modelsfor Subject-Driven Generation
Driversofonlinepolarization-fittingmodels todata
DR To1 Optimized Deep Reasoning Translation Via Long Chain Of Thought
DR Tulu Reinforcement Learning With Evolving Rubrics For Deep Research
Dupo-A Mixed-Initiative Authoring Toolfor Responsive Visualization
Dynamically Expandable Graph Convolutionfor Streaming Recommendation
Dynamic Embedding Size Searchwith Minimum Regretfor Streaming Recommender System
Dynamic Graph Neural Networksfor Sequential Recommendation
Dynamic Groupingfor Climate Change Negotiation-Facilitating Cooperationand Balancing Interests through Effective Strategies
Dynamic LLM Agent Network An LLM Agent Collaboration Framework With Agent Team Optimization
Dynamic Planning With ALLM
Dynamic Prompting A Unified Framework For Prompt Tuning
Dynamic RAG Leveraging Outputs Of Large Language Model As Feedback For Dynamic Reranking In Retrieval Augmented Generation
Dynamic Rewarding With Prompt Optimization Enables Tuning Free Self Alignment Of Language Models
Dynamicsof Political Narratives Duringthe Russian Invasionof Ukraine
Dynamic Task Oriented Dialogue A Comparative Study Of Llama 2 And Bert In Slot Value Generation
Dynamic User Segmentationand Usage Profiling
Easy Edit-An Easy-to-use Knowledge Editing Frameworkfor Large Language Models
Echo Chamber RL Post Training Amplifies Behaviors Learned In Pretraining
Echo Prompt-Instructingthe Modelto Rephrase Queries for Improved In-context Learning
Editing Based SQL Query Generation For Cross Domain Context Dependent Questions
Educating LLMs Like Human Students Structure Aware Injection Of Domain Knowledge
Efficient Tool Use with Chain-of-Abstraction Reasoning
Efficiently Learning At Test Time Active Fine Tuning Of LLMs
Efficient Nearest Neighbor Language Models
Efficient Reasoning With Hidden Thinking
Efficient Reinforcement Learning Via Large Language Model Based Search
Efficient Streaming Language Models With Attention Sinks
Election Manipulationin Social Networkswith Single-Peaked Agents
Eliciting Latent Knowledge From Quirky Language Models
Eliciting Reasoning In Language Models With Cognitive Tools
Elucidating STEM Conceptsthrough Generative AI-A Multi-modal Exploration of Analogical Reasoning
Embarrassingly Shallow Autoencodersfor Sparse Data
Embedding Democratic Valuesinto Social Media A Isvia Societal Objective Functions
Embedding Domain Knowledge For Large Language Models Via Reinforcement Learning From Augmented Generation
Embrace Opportunities and Face Challenges- Using ChatGPT in Undergraduate Students' Collaborative Interdisciplinary Learning
Emergence Of Abstractions Concept Encoding And Decoding Mechanism For In Context Learning In Transformers
Emergent Abilities of Large Language Models
Emergent Influence Networks in Good-faith Online Discussions
Emergent Hierarchical Reasoning In Llms Through Reinforcement Learning
Emerging Properties In Unified Multimodal Pretraining
Emotion and Sentiment Guided Paraphrasing
Emotion-aware Chatbotsfor Mental Health Support.doc
Emotional Intelligenceof Large Language Models
Emotionallynumb orempa thetic?evaluat ing HOWLLMSFEELUSINGEMOTIONBENCH
Emotion Embeddings— Learning Stableand Homogeneous Abstractions from Heterogeneous Affective Datasets
Emotion Flip Reasoningin Multiparty Conversations
Emotion Prompt-Leveraging Psychologyfor Large Language Models Enhancementvia Emotional Stimulus
Emo WOZA Large Scale Corpus And Labelling Scheme For Emotion Recognition In Task Oriented Dialogue Systems
Empathetic Persuasion Reinforcing Empathy And Persuasiveness In Dialogue Systems
Empathy Through Multimodality In Conversational Interfaces
Empirical Study Of Symmetrical Reasoning In Conversational Chatbots
Empowering Domain Specific Language Models With Graph Oriented Databases A Paradigm Shift In Performance And Model Maintenance
Empowering Psychotherapy With Large Language Models Cognitive Distortion Detection Through Diagnosis Of Thought Prompting
Emulating Reader Behaviorsfor Fake News Detection
Emu Video Factorizing Text To Video Generation By Explicit Image Conditioning
Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
Enabling Self Improving Agents To Learn At Test Time With Human In The Loop Guidance
Encouraging Divergent Thinking In Large Language Models Through Multi Agent Debate
End To End Test Time Training For Long Context
Energy Based Transformers Are Scalable Learners And Thinkers
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Enhancing the Prediction of Emotional Experience in Movies Using Deep Neural Networks- the Significance of Audio and Language
Enhancing AI Assisted Group Decision Making Through LLM Powered Devil's Advocate
Enhancing Dialogue Generationvia Dynamic Graph Knowledge Aggregation
Enhancing Large Language Model Induced Task Oriented Dialogue Systems Through Look Forward Motivated Goals
Enhancing LLM Reasoning Via Critique Models With Test Time And Training Time Supervision
Enhancing Performanceon Seenand Unseen Dialogue Scenariosusing Retrieval-Augmented End-to-End Task-Oriented System
Enhancing Personalized Multi Turn Dialogue With Curiosity Reward
Enhancing Phrase Representationby Information Bottleneck Guided Text Diffusion Processfor Keyphrase Extraction
Enhancing Pipeline-Based Conversational Agentswith Large Language Models
Enhancing Retrieval Augmented Large Language Models With Iterative Retrieval Generation Synergy
Enhancing Social Cohesion With Cooperative Bots In Societies Of Greedy,Mobile Individuals
Enhancing User Experience In Large Language Models Through Human Centered Design
Enhancing Visually-Rich Document Understandingvia Layout Structure Modeling
Entangled In Representations Mechanistic Investigation Of Cultural Biases In Large Language Models
Entropy-baseddetectionof Twitterechochambers
Equipping Agents For The Real World With Agent Skills
Escaping The Verifier Learning To Reason Via Demonstrations
Estimating AI Productivity Gains From Claude Conversations
Evade ChatGPT Detectorsvia A Single Space
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context
Evaluating ChatGPTasa Recommender System-A Rigorous Approach
Evaluat ingemotionalnu ances indialogue SUMMARIZATION
Evaluating Generated Textsas Unsupervised Decomposed Question Answering
Evaluat inglarge l anguagemodels’abil ity to underst and metaph or and sarc asm us inga screen ing testfor Aspergersyndrome
Evaluating Large Language Models At Evaluating Instruction Following
Evaluating Large Language Models In Exercises Of UML Class Diagram Modeling
Evaluating Large Language Models In Theory Of Mind Tasks
Evaluatinglargelanguagemodelsongraphs-performanceinsightsandcomparativeanalysis
Evaluating The Efficacy Of Interactive Language Therapy Based On LLM For High Functioning Autistic Adolescent Psychological Counseling
Evaluating The Persuasive Influence Of Political Microtargeting With Large Language Models
Evaluating The Psychometric Properties Of ChatGPT Generated Questions
Evaluatingthe Ripple Effectsof Knowledge Editingin Language Models
Evaluating The Therapeutic Alliance With A Free Text CBT Conversational Agent(Wysa)A Mixed Methods Study
Evaluating Very Long Term Conversational Memory Of LLM Agents
Evaluation And Benchmarking Of LLM Agents A Survey
Evaluation Of A Clinical Decision Support Tool Using Natural Language Processing To Screen Hospitalized Adults For Unhealthy Substance Use
Event Aware Sentiment Factors From LLM Augmented Financial Tweets A Transparent Framework For Interpretable Quant Trading
Event Extractionas Question Generationand Answering
Everything Everywhere All At Once Llms Can In Context Learn Multiple Tasks In Superposition
Evidence-centered Assessment for Writing with Generative AI
Evidenceof Human-Like Visual-Linguistic Integrationin Multimodal Large Language Models During Predictive Language Processing
Evidence Of Human Level Bonds Established With A Digital Conversational Agent Cross Sectional,Retrospective Observational Study
EVINCE Optimizing Multi LLM Dialogues Using Conditional Statistics And Information Theory
Evolving Deeper LLM Thinking
Evolvinglinguisticdivergence onpolarizingsocialmedia
Existential Conversations With Large Language Models Content,Community,And Culture
Expanding Explainability Towards Social Transparency In AI Systems
Expedient Assistance And Consequential Misunderstanding Envisioning An Operationalized Mutual Theory Of Mind
Expe L-LLM Agents Are Experiential Learners
EXPERTQA -Expert-Curated Questionsand Attributed Answers
Explainabilityand Acceptance of Artificial Intelligencein Collaborative Work
Explainable Compliance Detection With Multi Hop Natural Language Inference On Assurance Case Structure
Explainable Multimodal Emotion Reasoning
Explainable Recommendationwith Personalized Review
Explain Graph Neural Networksto Understand Weighted Graph Featuresin Node Classification
Explain Query Test Self Evaluating LLMs Via Explanation And Comprehension Discrepancy
Explicit Inductive Inference Using Large Language Models
Explicit Time Embedding Based Cascade Attention Networkfor Information Popularity Prediction
Exploiting the Natural Exploration In Contextual Bandits
Exploiting Dialogue Acts And Context To Identify Argumentative Relations In Online Debates
Exploiting Edge Featuresin Graph Neural Networks
Exploring the Power of Topic Modeling Techniques in Analyzing Customer Reviews- A Comparative Analysis
Exploring the psychology of GPT4’s Moral and Legal Reasoning
Exploring Autonomous Agents A Closer Look At Why They Fail When Completing Tasks
Explor ing demonstr ation ensembl ing for incontext learn ing
Exploring Format Consistencyfor Instruction Tuning
Exploring Gender-Based Toxic Speechon Twitterin Context ofthe#Me Toomovement-A Mixed Methods Approach
Exploring Interactionswith Voice-Controlled TV
Exploring Large Language Modelsfor Knowledge Graph Completion
Exploring LLMs Applications In Law A Literature Review On Current Legal NLP Approaches
Exploring Perspectivesonthe Impactof Artificial Intelligence onthe Creativityof Knowledge Work
Explor ingpopular itybias inmusicrecommend ation MODELS
Exploring Self-Reinforcementfor Improving Learnersourced Multiple-Choice Question Explanationswith Large Language Models
Exploring Student AI Interactions In Vibe Coding
Exploringthe Effectsof Agent Representation on Information Disclosurein Human-Chatbot Interaction
Exploring The Frontiers Of LLMs In Psychological Applications A Comprehensive Review
Exploring The Impact Of Large Language Models On Recommender Systems An Extensive Review
Exploring The Impact Of Large Language Models On Recommender Systems An Extensive Reviewv 3
Exploringthe Landscapeof Natural Language Processing Research
Exploring The Potential Of ChatGPT On Sentence Level Relations
Exploring The Potential Of Large Language Models In Computational Argumentation
Exploring XA Iforthe Arts-Explaining Latent Space in Generative Music
Expressing Stigma And Inappropriate Responses Prevents LLMs From Safely Replacing Mental Health Providers
External Model Motivated Agents Reinforcement Learning For Enhanced Environment Sampling
Extracting Text Representations for Terms and Phrases in Technical Domains
Extracting Memorized Pieces Of(copyrighted)Books From Open Weight Language Models
Extrapolation By Association Length Generalization Transfer In Transformers
Extreme Multi-Label Skill Extraction Training using Large Language Models
Extrinsic Hallucinations in LLMs _ Lil'Log
Fact,Fetch,And Reason A Unified Evaluation Of Retrieval Augmented Generation
Factorization Meetsthe Neighborhood-a Multifaceted Collaborative Filtering Model
Fair Bench-A Four-Stage Automatic Frameworkfor Detecting Stereotypesand Biasesin Large Language Models
Fairness-Aware Graph Neural Networks
Fairnessand Transparencyin Recommendation-The Users’ Perspective
Faith And Fate Limits Of Transformers On Compositionality
Faithful And Robust LLM Driven Theorem Proving For NLI Explanations
Fake News Detection and Behavioral Analysis- Case of COVID-19
Fake News Detectionthrough Graph-based Neural Networks-A Survey
Fake News Detectorsare Biasedagainst Texts Generatedby Large Language Models
False Causal Relationships Learnedby Abusive Language Classifiers
False Information,Botsand Malicious Campaigns- Demystifying Elementsof Social Media Manipulations
Fantastically Ordered Promptsand Whereto Find Them-Overcoming Few-Shot Prompt Order Sensitivity
Fasoro-Adeniyi-The ontological quandary of deepfakes-2024
Fast and Slow Learning From Reviews
Fast,Slow,And Tool Augmented Thinking For LLMs A Review
Feature Interactions Reveal Linguistic Structure in Language Models
Feature Collapse
Federated Large Language Model-A Position Paper
Federation Of Agents A Semantics Aware Communication Fabric For Large Scale Agentic AI
Fighting Bias with Bias- Promoting Model Robustness by Amplifying Dataset Biases
Financial News Analytics Using Fine-Tuned Llama 2 GPT
Fin Co T Grounding Chain Of Thought In Expert Financial Reasoning
Finding Common Ground Using Large Language Models To Detect Agreement In Multi Agent Decision Conferences
Findingsof Factify2-Multimodal Fake News Detection
Find The Gap AI,Responsible Agency And Vulnerability
Fine-grained Affective Processing Capabilities Emergingfrom Large Language Models
Fine-tuning language models to find agreement among humans with diverse preferences
Fine Grained Hallucination Detection And Editing For Language Models
Fine Tuning Language Models For Factuality
Fine Tuning Large Language Model For Automated Algorithm Design
Fine Tuning Pre Trained Language Models For Dialogical Argument Mining With Inference Anchoring Theory
Fin PRMA Domain Specialized Process Reward Model For Financial Reasoning In Large Language Models
First Try Matters Revisiting The Role Of Reflection In Reasoning Models
Flamingo- a Visual Language Model for Few-Shot Learning
FLASK Fine Grained Language Model Evaluation Based On Alignment Skill Sets
Flattery,Fluff,And Fog Diagnosing And Mitigating Idiosyncratic Biases In Preference Models
Flex KBQA-A Flexible LLM-Powered Frameworkfor Few-Shot Knowledge Base Question Answering
Flooding Spread Of Manipulated Knowledge In LLM Based Multi Agent Communities
Flow Mind Automatic Workflow Generation With LLMs
Flow Reasoner Reinforcing Query Level Meta Agents
Flows-Building Blocksof Reasoningand Collaborating AI
Fly-Swator Cannon?Cost-Effective Language Model Choicevia Meta-Modeling
Focusing on Relevant Responses for Multi-modal Rumor Detection
Followback Clusters,Satellite Audiences,and Bridge Nodes
Following the rules - De Ontic Constraint - Heath
FOLLOWIR Evaluating And Teaching Information Retrieval Models To Follow Instructions
For Better or Worse- The Impact of Counterfactual Explanations’ Directionality on User Behavior in x AI⋆
Forecasting User Engagement With English Words by Incorporating Cognitive Biases, Computational Linguistics and Natural Language Processing
Forecasting Temporal Trendsfor Fake News Detection
Forecasting The Presence And Intensity Of Hostility On Instagram Using Linguistic And Social Features
Forest Of Thought Scaling Test Time Compute For Enhancing LLM Reasoning
Formalising Natural Language Quantifiersfor Human-Robot Interactions
Formula One Measuring The Depth Of Algorithmic Reasoning Beyond Competitive Programming
Fostering User Engagementinthe Critical Reflectionof Arguments
Foundation Modelsfor Decision Making
Foundations Of Large Language Models
Foundations Of Large Language Models-6-2025
Frege In Space A Program For Compositional Distributional Semantics
Friction Interventionsto Curbthe Spreadof Misinformation on Social Media
From Interactive to Co-Constructive Task Learning
From Key Points to Key Point Hierarchy- Structured and Expressive Opinion Summarization
From Pixels to UI Actions- Learning to Follow Instructions via Graphical User Interfaces
From Articles To Code On Demand Generation Of Core Algorithms From Scientific Publications
From Chatterto Matter-Addressing Critical Stepsof Emotion Recognition Learningin Task-oriented Dialogue
From Decoding To Meta Generation Inference Time Algorithms For Large Language Models
From Explicit Co T To Implicit Co T Learning To Internalize Co T Step By Step
From Five Dimensions To Many Large Language Models As Precise And Interpretable Psychological Profilers
From Frege To ChatGPT Compositionality In Language,Cognition,And Deep Neural Networks
from GPT 4 To Gemini And Beyond Assessing The Landscape Of MLLMs On Generalizability...
From Human To Machine Psychology A Conceptual Framework For Understanding Well Being In Large Language Models
From Language To Logic A Bi Level Framework For Structured Reasoning
From LLMto Conversational Agent A Memory Enhanced Architecture With Fine Tuning Of Large Language Models
From Local To Global A Graph RAG Approach To Query Focused Summarization
From Louvain To Leiden Guaranteeing Well Connected Communities
From Persona To Person Enhancing The Naturalness With Multiple Discourse Relations Graph Learning In Personalized Dialogue Generation
From Prompt Engineering To Prompt Science With Human In The Loop
From Quantityto Quality-Boosting LLM Performancewith Self-Guided Data Selectionfor Instruction Tuning
From Sparseto Dense-GPT-4 Summarizationwith Chainof Density Prompting
From Speaking Like A Person To Being Personal The Effects Of Personalized,Regular Interactions With Conversational Agents
From Text To Emoji How PEFT Driven Personality Manipulation Unleashes The Emoji Potential In LLMs
From Tokens To Thoughts How LLMs And Humans Trade Compression For Meaning
From Trial And Error To Improvement A Systematic Analysis Of LLM Exploration Mechanisms In RLVR
From Web Search Towards Agentic Deep Research Incentivizing Search With Reasoning Agents
Frontier AI Risk Management Framework In Practice A Risk Analysis Technical Report
Function Vectors In Large Language Models
Fundamentals Of Building Autonomous LLM Agents
Further Explorations On The Use Of Large Language Models For Thematic Analysis Open Ended Prompts
Future Of Work With AI Agents Auditing Automation And Augmentation Potential Across The U.S.Workforce
Future X An Advanced Live Benchmark For LLM Agents In Future Prediction
Ga ininga better underst and ingof onl inepolariz ation BYAPPROACHINGITASADYNAMICPROCESS
Gamefied Turing Test
Game Theoretic LLM Agent Workflow For Negotiation Games
GATO A Generalist Agent
Gdpval Evaluating Ai Model Performance On Real World Economically Valuable Tasks
Gemini 2.5 Pushing The Frontier With Advanced Reasoning,Multimodality,Long Context,And Next Generation Agentic Capabilities
Gen Ai Too Much Spend,Too Little Benefit?
General Debiasingfor Multimodal Sentiment Analysis
Generalizable Detection of Urgency of Discussion Forum Posts
Generalization Bias In Large Language Model Summarization Of Scientific Research
Generalization Through Memorization Nearest Neighbor Language Models
Generalization To New Sequential Decision Making Taskswith In Context Learning
“Generate”the Futureof Workthrough AI-Empirical Evidencefrom Online Labor Markets
Generating Efficient Training Datavia LLM-based Attribute Manipulation
Generating Proto Personas Through Prompt Engineering A Case Study On Efficiency,Effectiveness And Empathy
Generating Query Relevant Document Summaries Via Reinforcement Learning
Generative Agents- Interactive Simulacra of Human Behavior
Generative AI-Driven Storytelling- A New Era for Marketing
Generative Interpretation
Generative Adversarial Nets
Generative Agent Simulations Of 1,000 People
Generative AI And The Nature Of Work
Generative A Ifor Business Strategy-Using Foundation Modelsto Create Business Strategy Tools
Generative AI In Real World Workplaces
Generative Interfaces For Language Models
Generative Models-Whatdotheyknow?Dotheyknowthings?Let’sfindout!
Generative Modelsasa Complex Systems Science- How c anwemakesense oflarge l anguagemodel behavior?
Generative Multimodal Entity Linking
Generative User-Experience Researchfor Natural Language Processing Applications
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling
Generator-Retriever-Generator-A Novel Approach to Open-domain Question Answering
Gen PRM Scaling Test Time Compute Of Process Reward Models Via Generative Reasoning
Gen Rec Large Language Modelfor Generative Recommendation
Getting Aligned on Representational Alignment
Ghost Writer Augmenting Collaborative Human AI Writing Experiences Through Personalization And Agency
GHPO Adaptive Guidance For Stable And Efficient LLM Reinforcement Learning
GLIDE-Towards Photorealistic Image Generationand Editingwith Text-Guided Diffusion Models
Global Graph-Enhanced Personalized News Recommendations
GNN-Fi LM-Graph Neural Networkswith Feature-wise Linear Modulation
GNN Explainer-Generating Explanationsfor Graph Neural Networks
Goal Alignment In LLM Based User Simulators For Conversational AI
Goldman Sachs Poweringthe AI Era
GPT-4 Technical Report
GPT-4and Human Gradersin Evaluating Praise Givento Students
GPT-4 Can’t Reason
Gpt-basedmodelsmeetsimulation
Gpt-calls- Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations VIA Large Language Models
GPT‑3- Its Nature, Scope, Limits, and Consequences
GPT 4 As A Homework Tutor Can Improve Student Engagement And Learning Outcomes
GPT 4 Is Judged More Human Than Humans In Displaced And Inverted Turing Tests
GPT 4 is Slightly Helpfulfor Peer-Review Assistance
GPT Eval-A Survey on Assessmentsof ChatGPTand GPT-4
GP Tisbecominga Turingmachine-Herearesomewaystoprogramit
GP Ts are GP Ts- An Early Look at the Labor Market Impact Potential of Large Language Models
Gradual Disempowerment Systemic Existential Risks From Incremental AI Development
Granite Function Calling Model Introducing Function Calling Abilities Via Multi Task Learning Of Granular Tasks
Graph Meets LLM- A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
Graph-Based Recommendation System Enhanced by Community Detection
Graph-based Hybrid Recommendation Systemwith Applicationto Movie
Graph-less Deploymentin Twitter Bot Detection
Graph Convolutional Matrix Completion
Graph Convolutional Neural Networksfor Web-Scale Recommender Systems
Graph Enhanced Large Language Models In Asynchronous Plan Reasoning
Graph Exploration Using Network Theoriesof Human Curiosity
Graphical Formalism Commonsense Reasoningwith Recipes
Graph Neural Networksfor Social Recommendation
Graphof Thoughts-Solving Elaborate Problemswith Large Language Models
GRASP Municipal Budget AI Chatbots For Enhancing Civic Engagement
Grokked Transformers Are Implicit Reasoners A Mechanistic Journey To The Edge Of Generalization
Grokking Generalization Beyond Overfitting On Small Algorithmic Datasets
Grokking Like Effects In Counterfactual Inference
GROODG Radient Aware Out Of Distribution Detection In Interpolated Manifolds
Ground-Truth Labels Matter- A Deeper Look into Input-Label Demonstrations
Grounded Complex Task Segmentationfor Conversational Assistants
Grounding Gaps In Language Model Generations
Grounding‘Grounding’In NLP
Grounding Large Language Models In Interactive Environments With Online Reinforcement Learning
Grounding Multilingual Multimodal LLMs With Cultural Knowledge
Grounding Or Guesswork?Large Language Models Are Presumptive Grounders
Group Dynamics-Survey of Existing Multimodal Models
GSM-Symbolic- Understanding the Limitations of Mathematical Reasoning in Large Language Models
Guidance Is All You Need Temperature Guided Reasoning In Large Language Models
Guided scenarios with simulated expert personae- a remarkable strategy to perform cognitive work
Guiding Large Language Modelsvia Directional Stimulus Prompting
GUIDO-A Hybrid Approach to Guideline Discovery&Orderingfrom Natural Language Texts
H 2 H Talk Evaluating Large Language Models As Emotional Companion
Habermas
Hallucinating With AIAI Psychosis As Distributed Delusions
Hallucination Free?Assessing The Reliability Of Leading AI Legal Research Tools
Hallucination Is Inevitable An Innate Limitation Of Large Language Models
Hard Prompts Made Easy- Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Harnessing Business And Media Insights With Large Language Models
Has The Creativity Of Large Language Models Peaked?—ananalysis Of Inter And Intra LLM Variability—
Head-to-Tail-How Knowledgeableare Large Language Models(LLM)? A.K.A.Will LLMs Replace Knowledge Graphs?
Hello Again LLM Powered Personalized Agent For Long Term Dialogue
Hello There!Is Now A Good Time To Talk?Opportune Moments For Proactive Interactions With Smart Speakers
Helpor Hinder?Evaluatingthe Impactof Fairness Metricsand Algorithmsin Visualizationsfor Consensus Ranking
Herbert H Clark Using Language
Heterophily-aware Social Bot Detection with Supervised Contrastive Learning
Heuristicsfor Supporting Cooperative Dashboard Design
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Reasoning Model
Hier Search A Hierarchical Enterprise Deep Search Framework Integrating Local And Web Searches
Hippo RAG Neurobiologically Inspired Long Term Memory For Large Language Models
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
Hi TKG Towards Goal Oriented Conversations Via Multi Hierarchy Learning
Hodgepodge-Examining AI:ML Practitioners’ Challengesduring Co-productionof Responsible AI Values
HOFA- Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention
Hogwild!Inference Parallel LLM Generation Via Concurrent Attention
Holy Grail2.0-From Natural Languageto Constraint Models
Honest Bait-Forward Referencesfor Attractivebut Faithful Headline Generation
Hop,Skip,And Overthink Diagnosing Why Reasoning Models Fumble During Multi Hop Analysis
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks
How do social media feed algorithms affect attitudesand behavior in an election campaign?
How Do UX Practitioners Communicate AI as a Design Material? Artifacts, Conceptions, and Propositions
How Graph Convolutions Amplify Popularity Bias for Recommendation?
How to Become Indispensable
How AI Destroys Institutions
How Algorithmic Confoundingin Recommendation Systems Increases Homogeneityand Decreases Utility
How Arguments Work
How Can Large Language Models Help Humansin Design And Manufacturing?
Howdoes A Ichatchangesearchbehaviors
How Do Transformers Learn Implicit Reasoning?
How Exposed Are UK Jobs To Generative AI?Developing And Applying A Novel Task Based Index
How Expressiveare Graph Neural Networksin Recommendation?
How Far Are We From Genuinely Useful Deep Research Agents?
How Good Are SOTA Fake News Detectors?
How Johnny Can Persuade LLMs To Jailbreak Them Rethinking Persuasion To Challenge AI Safety By Humanizing LLMs
How Language Models Use Long Contexts
How Many Instructions Can LLMs Follow At Once?
How Much Do Language Models Memorize?
How Multimodal LLMs Solve Image Tasks A Lens On Visual Grounding,Task Reasoning,And Answer Decoding
How New Data Permeates LLM Knowledge And How To Dilute It
How Projective Is Projective Content?Gradience In Projectivity And At Issueness
How Should We Meta Learn Reinforcement Learning Algorithms?
Howsusceptibleare LLMsto Logical Fallacies?
How To Correctly Do Semantic Backpropagation On Language Based Agentic Systems
How To Edit Anthropomorphic Language About Artificial Intelligence
Howto Evaluatethe Generalizationof Detection?A Benchmarkfor Comprehensive Open-Vocabulary Detection
Howto Train Your YouTube Recommender
How Well Can Large Language Models Explain Business Processes?
Huatuo GP To1,Towards Medical Complex Reasoning With LLMs
Hugging GPT- Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Human-AI Interaction Patternsin Mobile On-Device AI Apps
Human-AI Interactionsand Societal Pitfalls
human-centered AI in developing effective human-AI
Human-centered NLP Fact-checking-Co-Designingwith Fact-checkersusing Matchmakingfor AI
Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models—and Disappeared in GPT-4
Human-like systematic generalization through a meta-learning neural network
Human AI Collaboration Enables More Empathic Conversations In Text Based Peer To Peer Mental Health Support
Human Interactionwith Recommendation
Humanity's Last Exam
Human Like Category Learning By Injecting Ecological Priors From Large Language Models Into Neural Networks
Humans Learn To Prefer Trustworthy AI Over Human Partners
Humans Or LLMs As The Judge?A Study On Judgement Biases
Humans Overrely On Overconfident Language Models,Across Languages
Hungry Hungry Hippos- Towards Language Modeling with State Space Models
Hybrid Approach to Enhance Pure Collaborative Filtering
Hybrid Code Networks Practical And Efficient End To End Dialog Control With Supervised And Reinforcement Learning
Hybrid LLM Cost Efficient And Quality Aware Query Routing
Hybrid Multi-Criteria Preference Ranking
Hybrid Tiled Convolutional Neural Networks Text Sentiment Classification
Hyper Bandit-Contextual Banditwith Hypernewtorkfor Time-Varying User Preferencesin Streaming Recommendation
Hyperbolic Embeddings for Fine-grained Emotion Classification
Hyperspace A Peer To Peer Artificial Intelligence Network
Hypothesis Driven Theory Of Mind Reasoning For Large Language Models
I_Like_It_I_Like_It_Not_Evaluating_User_Ratings_No
IAI Movie Bot-A Conversational Movie Recommender System
Identification Of Propositional And Illocutionary Relations
Identifying Misinformationon YouTubethrough Transcript Contextual Analysiswith Transformer Models
IF Eval Code Controlled Code Generation
Imagic Text-Based Real Image Editingwith Diffusion Models
IMBUE Improving Interpersonal Effectiveness Through Simulation And Just In Time Feedback With Human Language Model Interaction
Impactof Cognitive Distractionon Cyclists
Implementing the “Wisdom of the Crowd”
Implicit Chain Of Thought Reasoning Via Knowledge Distillation
Improved PO Stagg ing f orspont aneous,cl inicalspeech
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
Improving Section 230, Preserving Democracy, and Protecting Free Speech
Improving Chain Of Thought Reasoning Via Quasi Symbolic Abstractions
Improving Conversational Recommender Systems Via Transformer Based Sequential Modelling
Improving Dialog Systems For Negotiation With Personality Modeling
Improving Document-Level Sentiment Analysis
Improving Factuality And Reasoning In Language Models Through Multiagent Debate
Improving Generalization In Task Oriented Dialogues With Workflows And Action Plans
Improving Image Captioningwith Better Useof Captions
Improving Image Generationwith Better Captions
Improving Joint Speech-Text Representations Without Alignment
Improving Language Understanding By Generative Pre Training
Improving Large Language Models With Concept Aware Fine Tuning
Improvingneuralnetworksbypreventing co-adaptationoffeaturedetectors
Improving Reinforcement Learning From Human Feedback Using Contrastive Rewards
Improving Small Scale Large Language Models Function Calling For Reasoning Tasks
Improving Social Media Popularity Predictionwith Multiple Post Dependencies
In-context Autoencoder for Context Compression in a Large Language Model
In-context learning agents are asymmetric belief updaters
In-Context Learning for Dialogue State Tracking
In-Context Learning with Contrastive Demonstrationsand Saliency Maps
In-Context Principle Learning from Mistakes
In-IDE Generation-based Information Supportwith a LLM
Incomplete Utterance Rewriting as Sequential Greedy Tagging
Incorporating External Knowledge And Goal Guidance For LLM Based Conversational Recommender Systems
Inducing Causal Structurefor Abstractive Text Summarization
Inducing Positive Perspectives With Text Reframing
Inductive Or Deductive?Rethinking The Fundamental Reasoning Abilities Of LLMs
Inference Anchoring Theory Based LLM Parsers
Inference Aware Prompt Optimization For Aligning Black Box Large Language Models
Inference Time Intervention Eliciting Truthful Answers From A Language Model
Inference Time Scaling For Generalist Reward Modeling
Inferr ingsocialnetw orks fromobservedgroups
Inferringthe Goalsof Communicating Agents from Actionsand Instructions
Influence Maximization with Fairness at Scale
Influencer Predictionwith Dynamic Graph Neural Networks
Information Theoretic Reward Decomposition For Generalizable RLHF
In f ormednamedent ity recogn itiondecod ing f or GENERATIVELANGUAGEMODELS
Injecting Domain Specific Knowledge Into Large Language Models A Comprehensive Survey
In Mind Evaluating LLMs In Capturing And Applying Individual Human Reasoning Styles
Input-Tuning-Adapting Unfamiliar Inputsto Frozen Pretrained Models
In Search Of Needles In A 11 M Haystack Recurrent Memory Finds What LLMs Miss
Insert-expansionsfortool-enabledconversational Agents
Inspecting And Editing Knowledge Representations In Language Models
INSPIRED Toward Sociable Recommendation Dialog Systems
Instance Adaptive Zero Shot Chain Of Thought Prompting
Instruct Eval-Systematic Evaluation of Instruction Selection Methods
Instruction Induction-From Few Examplesto Natural Language Task Descriptions
Instruction Mining-High-Quality Instruction Data Selectionfor LLMs
Instruction Position Mattersin Sequence Generation with Large Language Models
Instruction Tuned Language Models Are Better Knowledge Learners
Instruction Tuningfor Large Language Models-A Survey
Instruct Pix2Pix Learning to Follow Image Editing Instructions
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation
Integrating Large Language Models And Reinforcement Learning For Non Linear Reasoning
Intell Agent A Multi Agent Framework For Evaluating Conversational AI Systems
Intent-calibrated Self-trainingfor Answer Selection
Intent Detectionat Scale- Tuninga Generic Modelusing Relevant Intents
Interacting With Non Cooperative User A New Paradigm For Proactive Dialogue Policy
Interaction Dynamics As A Reward Signal For LLMs
interaction ofbots andhum ans ind iscussionof the Russia:Ukraine
Interactions With Generative AI Chatbots Unveiling Dialogic Dynamics,Students’Perceptions
Interesting Scientific Idea Generation Using Knowledge Graphs And LLMs Evaluations With 100 Research Group Leaders
Interface Designto Mitigate Inflationin Recommender Systems
interplay betweencon f orm ity and anticon f orm ity
Interpretability In The Wild A Circuit For Indirect Object Identification In GPT 2 Small
Interpretable Traces,Unexpected Outcomes Investigating The Disconnect In Trace Based Knowledge Distillation
Interpretation Modeling Social Grounding Of Sentences By Reasoning Over Their Implicit Moral Judgments
Intrinsic Dimensionality Explainsthe Effectivenessof Language Model Fine-Tuning
Intuitiveand Continuous Retrospective Evaluation of Interactions
In Tune-Reinforcement Learning-based Data Pipeline Optimizationfor Deep Recommendation Models
Invalid Logic,Equivalent Gains-The Bizarrenessof Reasoningin Language Model Prompting
Inverse Q*Token Level Reinforcement Learning For Aligning Large Language Models Without Preference Data
Investigating Gender Bias In Language Models Using Causal Mediation Analysis
Investigating Human-AI Co-creativityin Prewritingwith Large Language Models
Investigating Reinforcement Learning for Communication Strategiesina Task-Initiative Setting
Investigating Task Specific Prompts And Sparse Autoencoders For Activation Monitoring
Investigatingthe Existenceof“Secret Language”in Language Models
Investigatingthe Learning Behaviourof In-context Learning-A Comparisonwith Supervised Learning
Investigating V Tubingasa Reconstructionof Streamer Self-Presentation-Identity,Performance,and Gender
Irony In Emojis A Comparative Study Of Human And LLM Interpretation
Is Anisotropy Inherent to Transformers?
Is GPT a Computational Model of Emotion? Detailed Analysis
Is There Any Social Principle for LLM-Based Agents?
Is Attention Explanation?An Introductiontothe Debate
Is Chain Of Thought Reasoning Of LLMs A Mirage?A Data Distribution Lens
Is ChatGPTA Better Explainer Than My Professor?Evaluating The Explanation Capabilities Of LLMs In Conversation Compared To A Human Baseline
Is ChatGPTa Good Personality Recognizer
Is Cosine-Similarityof Embeddings Really About Similarity?
Is GPT-4 a Good Data Analyst?
Is Sarcasm Detection A Step By Step Reasoning Process In Large Language Models?
Isthe U.S.Legal System Readyfor AI’s Challengesto Human Values?
Is This The Real Life?Is This Just Fantasy?The Misleading Success Of Simulating Social Interactions With LLMs
It's All Connected A Journey Through Test Time Memorization,Attentional Bias,Retention,And Online Optimization
Item Sage-Learning Product Embeddings for Shopping Recommendations at Pinterest
It’s About Time-Incorporating Temporalityin Retrieval Augmented Language Models
It’s All Connected A Journey Through Test Time Memorization,Attentional Bias,Retention,And Online Optimization
J 1 Incentivizing Thinking In LLM As A Judge Via Reinforcement Learning J
Jamba A Hybrid Transformer Mamba Language Model
Joint LK Joint Reasoningw LLMs-Knowledge Graphs-Commonsense Question Answering
Jointly Reinforcing Diversity And Quality In Language Model Generations
Judging LLM As A Judge With MT Bench And Chatbot Arena
KAFA- Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
KAN Kolmogorov–Arnold Networks
Kdstm-neuralsemi-supervisedtopicmodelingwith
KECRS-Towards Knowledge-Enriched Conversational Recommendation
KETM-A Knowledge-Enhanced Text Matching method
KETOD Knowledge-Enriched Task-Oriented Dialogue
KGAT-Knowledge Graph Attention Networkfor Recommendation
KG Conv,a Conversational Corpusgroundedin Wikidata
Killingtwobirdswithonestone-cananaudiocaptioningsystemalso Beusedforaudio-textretrieval?
Ki PT Knowledge Injected Prompt Tuning For Event Detection
Klear Reasoner Advancing Reasoning Capability Via Gradient Preserving Clipping Policy Optimization
Knowledge of cultural moral norms in large language models
Knowledge-based Multimodal Music Similarity
Knowledge-Driven Co T-Exploring Faithful Reasoningin LLMsfor Knowledge-intensive Question Answering
Knowledge-grounded Natural Language Recommendation Explanation
Knowledge Distillation For Enhancing Walmart E Commerce Search Relevance Using Large Language Models
Knowledge Distillationvia Token-level Relationship Graph
Knowledge Enhanced Mixed Initiative Dialogue System For Emotional Support Conversations
Knowledge Graphfor NL Ginthecontextof conversationalagents
Knowledge Graph Promptingfor Multi-Document Question Answering
Knowledge Graphsto Provide Side Informationfor Improved Rec
Knowledge Or Reasoning?A Close Look At How LLMs Think Across Domains
Knowledge Retrieval Based On Generative AI
Knowled GPT-Enhancing Large Language Modelswith Retrievaland Storage Accesson Knowledge Bases
Ko LA Carefully Benchmarking World Knowledge Of Large Language Models
KTO Model Alignment As Prospect Theoretic Optimization
“Kurosawa”-A Script Writer’s Assistant
Language Models are Pragmatic Speakers
Language Quantized Auto Encoders-Towards Unsupervised Text-Image Alignment
Language Agents As Optimizable Graphs
Language As A Cognitive Tool To Imagine Goals In Curiosity Driven Exploration
Language Modeling By Language Models
Language Modeling Is Compression
Language Model Personalization Via Reward Factorization
Language Models Are Greedy Reasoners A Systematic Formal Analysis Of Chain Of Thought
Language Modelsare Unsupervised Multitask Learners
Languagemodelsareweaklearners
Language Models’Hall Of Mirrors Problem Why AI Alignment Requires Peircean Semiosis
Language Modelsin Conversational Recommender Systems
Language Models Learn To Mislead Humans Via RLHF
Large Language Models are Fixated by Red Herrings- Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
Large language models are human-level prompt engineers
Large Language Models are not Fair Evaluators
Large Language Models for User Interest Journeys
Large_language_models_could_change_the_future_of_b
Large Action Models From Inception To Implementation
Large Causal Models From Large Language Models
Large Concept Models Language Modelingina Sentence Representation Space
Large Language Diffusion Models
Large Language Modelas Attributed Training Data Generator
Large Language Model Based Data Science Agent A Survey
Large Language Model Based Multi Agents A Survey Of Progress And Challenges
Large Language Model Brained GUI Agents A Survey
Large Language Modelfor Graph Data Understanding in Online Job Recommendations
Large Language Model Guided Tree-of-Thought
Large Language Model Programs
Large Language Models
Large Language Models Can Self-Improve
Large Language Models-A Survey
Large Language Modelsand Knowledge Graphs-Opportunitiesand Challenges
Large Language Models Are In Context Semantic Reasoners Rather Than Symbolic Reasoners
Large Language Modelsare Zero-Shot Rankersfor Recommender Systems
Large Language Modelsare Zero-Shot Reasoners
Large Language Models As Analogical Reasoners
Large Language Modelsasan Indirect Reasoner Contrapositiveand Contradictionfor Automated Reasoning
Large Language Models As Conversational Movie Recommenders A User Study
Large Language Models As Planning Domain Generators
Large Language Models As Simulated Economic Agents What Can We Learn From Homo Silicus?
Large Language Modelsas Superpositions of Cultural Perspectives
Large Language Models As Zero Shot Conversational Recommenders
Large Language Modelscanaccomplish Business Process Management Tasks
Large l anguage models c anaccur atelypredictsearcherpreferences
Large l anguage models can inferpsychological DISPOSITIONSOFSOCIALMEDIAUSERS
Large Language Models Can Infer Psychological Dispositions Of Social Media Users
Large Language Models Can Segment Narrative Events Similarly To Humans
Largelanguagemodelsconvergetowardhuman-like conceptorganization
Large Language Models Do Not Simulate Human Psychology
Large Language Modelsfor Information Retrieval-A Survey
Large Language Models For Social Networks Applications,Challenges,And Solutions
Large Language Modelsin Cryptocurrency Securities Cases-Can ChatGPT Replace Lawyers?
Large Language Models Know Your Contextual Search Intent A Prompting Framework For Conversational Search
Large Language Models Meet Knowledge Graphs For Question Answering Synthesis And Opportunities
Largelanguagemodelsonwikipedia-style Surveygeneration- Anevaluationinnlpconcepts
Large Language Models Reflect The Ideology Of Their Creators
Large Language Models Sensitivityto The Orderof Optionsin Multiple-Choice Questions
Large Language Models Surpass Human Experts In Predicting Neuroscience Results
Large Language Models Think Too Fast To Explore Effectively
Large Language Models Understand And Can Be Enhanced By Emotional Stimuli
Large Linguistic Models Investigating LLMs'Metalinguistic Abilities
Large Models Of What?Mistaking Engineering Achievements For Human Linguistic Agency
Large Multimodal Agents A Survey
Large Scale Product Graph Constructionfor Recommendationin E-commerce
Large Sequence Modelsfor Sequential Decision-Making
Latent Collaboration In Multi Agent Systems
Latent Dirichlet Allocation
Latent QA Teaching LLMs To Decode Activations Into Natural Language
Latent Skill Discovery For Chain Of Thought Reasoning
Lat Eval-An Interactive LLMs Evaluation Benchmarkwith Incomplete Informationfrom Lateral Thinking Puzzles
Launchpad GPT-Language Modelas Music Visualization
Leaky Thoughts Large Reasoning Models Are Not Private Thinkers
Lean AI-A method for AEC practitioners
Lean Product_canvas_v 1-nov 2024_FINAL
Learn By Interact A Data Centric Framework For Self Adaptive Agents In Realistic Environments
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
Learning to rank for recommender systems
Learning to Relate to Previous Turns in Conversational Search
Learning Transferable Visual Models From Natural Language Supervision
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Learning"Partner Aware"Collaborators In Multi Party Collaboration
Learningand Evaluating General Linguistic Intelligence
Learning Distributed Representationsfrom Reviewsfor Collaborative Filtering
Learning Human Object Interaction As Groups
Learning Multi Party Turn Taking Models From Dialogue Logs
Learning Pluralistic User Preferences Through Reinforcement Learning Fine Tuned Summaries
Learning Retrieval Augmentation For Personalized Dialogue Generation
Learn ing themean ings offunction w ords from grounded l anguage us ingav isualquestion answer ing model
Learning To(Learn At Test Time)RN Ns With Expressive Hidden States
Learning To Ask Appropriate Questions In Conversational Recommendation
Learning To Ask Critical Questions For Assisting Product Search
Learningtogenerateandcorr-uh Imeanrepairlanguageinreal-time
Learningto Generate Better Than Your LLM
Learningto Generate Equitable Textin Dialogue
Learningtoguidehumanexperts Viapersonalizedlargelanguagemodels
Learning To Map Context Dependent Sentences To Executable Formal Queries
Learningto Modelthe Worldwith Language
Learningto Paraphrase Sentencesto Different Complexity Levels
Learning To Plan&Reason For Evaluation With Thinking LLM As A Judge
Learningto Rankin Generative Retrieval
Learning To Reason For Factuality
Learning To Reason Without External Rewards
Learningto Retrieve In-Context Examplesfor Large Language Models
Learning To Retrieve Prompts For In Context Learning
Learning To Retrieve Reasoning Paths Over Wikipedia Graph For Question Answering
Learningto Selectthe Relevant History Turnsin Conversational Question Answering
Learning To Summarize From Human Feedback
Learning To Think Information Theoretic Reinforcement Fine Tuning For LLMs
Learning Transferable Visual Models From Natural Language Supervision
Least To Most Prompting Enables Complex Reasoninginlargelanguagemodels
Less Can Be More- Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems
Less Likely Brainstorming- Using Language Models to Generate Alternative Hypotheses
Less Is More Recursive Reasoning With Tiny Networks
LESS Selecting Influential Data For Targeted Instruction Tuning
Let Me Speak Freely?A Study On The Impact Of Format Restrictions On Performance Of Large Language Models
Let Me Think!A Long Chain Of Thought Can Be Worth Exponentially Many Short Ones
Let’s Verify Stepby Step
Levels Of AI Agents From Rules To Large Language Models
Leveraging Explainable AI to Analyze Researchers’ Aspect-Based Sentiment about ChatGPT
Leveraging LLMs for KP Is Retrieval from Hybrid Long-Document
Leveraging AI For Democratic Discourse Chat Interventions Canimprove Online Political Conversations At Scale
Leveraging Approximate Symbolic Models For Reinforcement Learning Via Skill Diversity
Leveraging Contextual Informationfor Effective Entity Salience Detection
Leveraging Few-Shot Data Augmentationand Waterfall Promptingfor Response Generation
Leveraging Knowledgeand Reinforcement Learning for Enhanced Reliabilityof Language Models
Leveraging Large Language Models In Conversational Recommender Systems
Leveraging Pre Trained Large Language Models To Construct And Utilize World Models For Model Based Task Planning
Leveraging Recommender Systemsto Reduce Content Gaps
Lexical Entrainmentfor Conversational Systems
Libri SQA-Pioneering Free-formand Open-ended Spoken Question Answeringwitha Novel Dataset and Framework
Lightning Attention 2 A Free Lunch For Handling Unlimited Sequence Lengths In Large Language Models
Lil Bevo Explorations Of Strategies For Training Language Models In More Humanlike Ways
LIMA Less Is More For Alignment
LIMI Less Is More For Agency
LIMO Pro Reasoning Refinement For Efficient And Effective Test Time Scaling
Linguistic Properties of Truthful Response
Linguistic Blind Spots Of Large Language Models
Linguistic Calibrationof Long-Form Generations
Linguistic Fundamentals For Natural Language Processing Ii 100 Essentials From Semantics And Pragmatics
Linguistic Markers Of Inherently False AI Communication And Intentionally False Human Communication Evidence From Hotel Reviews
Linguistic Style Matchingin Online Communities
Link-Context Learning for Multimodal LLMs
Linking Symptom Inventoriesusing Semantic Textual Similarity
Linkingthe Dynamicsof User Stance tothe Structureof Online Discussions
Liquid Time-constant Networks
Live Chat- A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming
Live MCP 101 Stress Testing And Diagnosing MCP Enabled Agents On Challenging Queries
L La MA-E-Empowering E-commerce Authoringwith Multi-Aspect Instruction Following
Llama 2-Open Foundationand Fine-Tuned Chat Models
L La MA Omni Seamless Speech Interaction With Large Language Models
Llasm-largelanguageandspeechmodel
LLM-assisted Knowledge Graph Engineering- Experiments with ChatGPT
LLM-based Smart Reply (LSR)- Enhancing Collaborative Performance with ChatGPT-mediated Smart Reply System
LLM-Rec-Personalized Recommendationvia Prompting Large Language Models
LLM+P- Empowering Large Language Models with Optimal Planning Proficiency
LLM+P Empowering Large Language Models With Optimal Planning Proficiency
LLM2KB-Constructing Knowledge Basesusing instructiontunedcontextaware Large Language Models
LLM 2 Vec Large Language Models Are Secretly Powerful Text Encoders
LLMasa Systemof Multiple Expert Agents-Abstractionand Reasoning Corpus
LLMatic Neural Architecture Search Via Large Language Models And Quality Diversity Optimization
LLM Augmentations To Support Analytical Reasoning Over Multiple Documents
LLM Based Conversational AI Therapist For Daily Functioning Screening And Psychotherapeutic Intervention Via Everyday Smart Devices
LLM Based Rewriting Of Inappropriate Argumentation Using Reinforcement Learning From Machine Feedback
LLM Blender Ensembling Large Language Models With Pairwise Ranking And Generative Fusion
LLM Checkup Conversational Examination Of Large Language Models Via Interpretability Tools
LLM Generated Persona Is A Promise With A Catch
LLM Independent Adaptive RAG Let The Question Speak For Itself
LLM Lingua-Compressing Promptsfor Accelerated Inference of Large Language Models
LLM Post Training A Deep Dive Into Reasoning Large Language Models
LLMs_Deductive Inductiveand Abductive Views
LLMs Are Frequency Pattern Learners In Natural Language Inference
LLMs Are Greedy Agents Effects Of RL Fine Tuning On Decision Making Abilities
LLMs As Architects And Critics For Multi Source Opinion Summarization
LLMs As Method Actors A Model For Prompt Engineering And Architecture
LLMsas Workersin Human-Computational Algorithmsfor Crowdsourcing
LLMscan Be Fooled Into Labelling A Document As Relevant
LLMs Can Covertly Sandbag On Capability Evaluations Against Chain Of Thought Monitoring
LLMs Can Easily Learn To Reason From Demonstrations Structure,Not Content,Is What Matters!
LLMs Can Implicitly Learn From Mistakes In Context
LLM Self Defense-By Self Examination, LLMs Know They Are Being Tricked
LLMsfor Zero-Shot Natural Language Generationfrom Knowledge Graphs
LLMs Get Lost In Multi Turn Conversation
LLMs Reproduce Human Purchase Intent Via Semantic Similarity Elicitation Of Likert Ratings
LLMs Struggle To Reject False Presuppositions When Misinformation Stakes Are High
LLM Strategic Reasoning Agentic Study Through Behavioral Game Theory
LLMto Provide Immediate Feedbackto Studentsin Flipped Classroom Preparation Learning
Local Coherence Or Global Validity?Investigating RLVR Traces In Math Domains
Localizing Paragraph Memorization In Language Models
Locatingand Editing Factual Associationsin GPT
Logical Reasoning In Large Language Models A Survey
Logic Bench Towards Systematic Evaluation Of Logical Reasoning Ability Of Large Language Models
LOGICLM Empowering Large Language Models With Symbolic Solvers For Faithful Logical Reasoning
Logic Of Thought Injecting Logic Into Contexts For Full Reasoning In Large Language Models
Loneliness and suicide mitigation for students using GPT3-enabled chatbots
Long-form analogies generated by chat GPT lack human-like psycholinguistic properties
Long-form Factuality in Large Language Models
Long-Range Transformer Architecturesfor Document Understanding
Long Context LLMs Struggle With Long In Context Learning
Longer Context,Deeper Thinking Uncovering The Role Of Long Context Ability In Reasoning
Longformer The Long Document Transformer
LONGNET-Scaling Transformersto 1,000,000,000
Long RAGA Dual Perspective Retrieval Augmented Generation Paradigm For Long Context Question Answering
Long RAG Enhancing Retrieval Augmented Generation With Long Context LLMs
Looking Beyond The Next Token
Looming Threatof Fake Linked In Profiles-Challenges Opportunitiesfor Detection Prevention
LOST- A Mental Health Dataset of Low Self-esteem in Reddit Posts
Lost In Inference Rediscovering The Role Of Natural Language Inference For Large Language Models
Lottery Ticket Adaptation Mitigating Destructive Interference In LLMs
Low-code LLM- Visual Programming over LLMs
LSR Reinforcement Learning With Supervised Reward Outperforms SFT In Instruction Following
Lumiere-A Space-Time Diffusion Modelfor Video Generation
MACH_Maturity_Assessment_whitepaper_2023_linked_27_06_2023_final
Machine learning is going real-time
Machine Bullshit Characterizing The Emergent Disregard For Truth In Large Language Models
Machine Down Making Sense Of Human–computer interaction—garf inkel’s Research On ELIZA
Machine Ex Machina A Framework Decentering The Human In AI Design Praxis
Machine Gaze In Online Behavioral Targeting The Effects Of Algorithmic Human Likeness On Social Presence And Social Influence
Machine Psychology
Machines And Mindlessness Social Responses To Computers
Magentic UI Towards Human In The Loop Agentic Systems
Magpie Alignment Data Synthesis From Scratch By Prompting Aligned LLMs With Nothing
Mainstream News Articles Co-Sharedwith Fake News Buttress Misinformation Narratives
Make A Video-Text To Video Generation Withouttext Videodata
Making Large Language Models Better Reasonerswith Step-Aware Verifier
Making Pre-trained Language Modelsboth Task-solversand Self-calibrators
Making Reasoning Matter Measuring And Improving Faithfulness Of Chain Of Thought Reasoning
Making Senseof Memoryin AI Agents Leonie Monigatti
Mama Always Had A Wayof Explaining Things So I Could Understand A Dialogue Corpus For Learning To Construct Explanations
Mamba-Linear-Time Sequence Modelingwith Selective State Spaces
Managing multi-facet bias in collaborative filtering recommender systems
Man Vs Machine–Detecting Deception In Online Reviews
Mapof Technology-mediated Harms,Risksand Vulnerabilities
Mapping the Challenges of HCI- An Application and Evaluation of ChatGPT and GPT-4 for Cost-Efficient Question Answering
Mapping Promptsfor LLMsto UI Affordances
MAPSA Multi Agent Framework Based On Big Seven Personality And Socratic Guidance For Multimodal Scientific Problem Solving
Marked Personas- Using Natural Language Prompts to Measure Stereotypes in Language Models
MARSA Multi Agent Framework Incorporating Socratic Guidance For Automated Prompt Optimization
Masked Autoencoders Are Scalable Vision Learners
Mask GIT-Masked Generative Image Transformer
Mas Router Learning To Route LLMs For Multi Agent Systems
Mass-editingmemoryinatransformer
Massive Activationsin Large Language Models
Mastering Diverse Domainsthrough World Models
Match XML-An Efficient Text-label Matching Frameworkfor Extreme Multi-label Text Classification
Mat Former Nested Transformer For Elastic Inference
Matrix Factorization Techniquesfor Recommender Systems
Max Min-RLHF-Towards Equitable Alignmentof Large Language Modelswith Diverse Human Preferences
MCP Zero Proactive Toolchain Construction For LLM Agents From Scratch
MD Dial-A Multi-turn Differential Diagnosis Dialogue Datasetwith Reliability Evaluation
Me,Myself,And AI The Situational Awareness Dataset(SAD)For LLMs
Meaningful XAI Based on User-centric Design Methodology
Meanings Are Like Onions A Layered Approach To Metaphor Processing
Measuring the Value of Social Dynamics in Online Product Ratings Forums
Measuring Agents In Production
Measuring Alliance And Symptom Severity In Psychotherapy Transcripts Using Bert Topic Modeling
Measuring And Narrowing The Compositionality Gap In Language Models
Measuring Centralizationof Online Platforms Through Sizeand Interconnectionof Communities
Measuring Faithfulnessin Chain-of-Thought Reasoning
Measuring Online Emotional Reactionsto Offline Events
Measuring Representationof Subjective Global Opinionsin LLMs
Measuring The Faithfulness Of Thinking Drafts In Large Reasoning Models
Measuring User-Perceived Valuefor Rejecting Machine Decisionsin Hate Speech Detection
Mechanistic Indicators Of Understanding In Large Language Models
Media Bias and Polarization through the Lens of a Markov Switching Latent Space Network Model
Medical Reasoning In The Era Of LLMs A Systematic Review Of Enhancement Techniques And Applications
Medusa Simple LLM Inference Acceleration Framework With Multiple Decoding Heads
Mega Blocks Efficient Sparse Training With Mixture Of Expert
Memo Chat-Tuning LLMsto Use Memosfor Consistent Long-Range Open-Domain Conversation
Memorization And Knowledge Injection In Gated LLMs
Memory Decoder A Pretrained,Plug And Play Memory For Large Language Models
Memory Sandbox-Transparentand Interactive Memory Managementfor Conversational Agents
Messagepassingallthewayup
Meta-Path Discoveryfor Effective Graph-Based Recommendation
Meta-Reasoning-Semantics-Symbol Deconstruction
Metacognitive Capabilities Of LLMs An Exploration In Mathematical Problem Solving
Metacognitive Prompting Improves Understandingin Large Language Models
Metacognitive Retrieval Augmented Large Language Models
Metacognitive Reuse Turning Recurring LLM Reasoning Into Concise Behaviors
Metagpt-metaprogrammingformulti-agent Collaborativeframework
Meta Mind Modeling Human Social Thoughts With Metacognitive Multi Agent Systems
Meta Reasoner Dynamic Guidance For Optimized Inference Time Reasoning In Large Language Models
Meta Rewarding Language Models Self Improving Alignment With LLM As A Meta Judge
Methodologies for Improving Modern Industrial Recommender Systems
Mind Dial-Belief Dynamics Trackingwith Theory-of-Mind Modelingfor Situated Neural Dialogue Generation
Mind Map-Knowledge Graph Prompting Sparks Graphof Thoughtsin Large Language Models
Mind Search Mimicking Human Minds Elicits Deep AI Searcher
Mindstorms In Natural Language Based Societies Of Mind
Minds Versus Machines Rethinking Entailment Verification With Language Models
Mind The Gap Examining The Self Improvement Capabilities Of Large Language Models
Mind Your Step(by Step)Chain Of Thought Can Reduce Performance On Tasks Where Thinking Makes Humans Worse
Mind Your Tone Investigating How Prompt Politeness Affects LLM Accuracy
Mini Max M 1 Scaling Test Time Compute Efficiently With Lightning Attention
Mining Cluesfrom Incomplete Utterance
Mining Hidden Thoughts From Texts Evaluating Continual Pretraining With Synthetic Data For LLM Reasoning
Mint-evaluatingllmsinmulti-turninteractionwithtoolsandlanguagefeedback
MIOA Foundation Model On Multimodal Tokens
Misaligned By Design Incentive Failures In Machine Learning
Misinformationas Information Pollution
Missing Premise Exacerbates Overthinking Are Reasoning Models Losing Critical Thinking Skill?
Mitigating Hallucinations In Large Language Models Via Causal Reasoning
Mitigating Label Biasvia Decoupled Confident Learning
Mitigating Misinformation Spreadingin Social Networks Via Edge Blocking
Mixed Methodto Explain How Extreme Opinions Infiltrate Online Discussions
Mixture of Soft Promptsfor Controllable Data Generation
Mixture Of Experts Meets Instruction Tuning A Winning Combination For Large Language Models
Mixture Of Thoughts Learning To Aggregate What Experts Think,Not Just What They Say
MLESTAR Machine Learning Engineering Agent Via Search And Targeted Refinement
MLLMC Bench A Comprehensive Benchmark For Continual Instruction Tuning Of Multimodal LLMs With Chain Of Thought Reasoning Analysis
MM-LLMs Recent Advancesin Multi Modal Large Language Models
MM-REACT -Prompting ChatGPTfor Multimodal Reasoningand Action
Mobile LLM Optimizing Sub Billion Parameter Language Models For On Device Use Cases
Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension
Modeling task relationships in multi-task learning with multi-gate mixture-of-experts
Modeling Appropriate Language In Argumentation
Modeling Code Is Text All You Need?
Modeling Interpersonal Linguistic Coordination In Conversations Using Word Mover’s Distance
Modeling Player Personality Factorsfrom In-Game Behaviorand Affective Expression
Modeling Rabbit-Holeson YouTube
Modeling Random Networkswith Heterogeneous Reciprocity
Modeling Relational Datawith Graph Convolutional Networks
Modeling The Quality Of Dialogical Explanations
Modeling User Internal State in Movie Recommendation Dialogue
Model Leeching-An Extraction Attack Targeting LLMs
Model Organisms For Emergent Misalignment
Model Swarms Collaborative Search To Adapt LLM Experts Via Swarm Intelligence
MODS Moderating A Mixture Of Document Speakers To Summarize Debatable Queries In Document Collections
Modular ity andcommun itystructure innetw orks
MOMENTSA Comprehensive Multimodal Benchmark For Theory Of Mind
Monitoring Reasoning Models For Misbehavior And The Risks Of Promoting Obfuscation
Monolith Real Time Recommendation System With Collisionless Embedding Table
Mood Angels A Retrieval Augmented Multi Agent Framework For Psychiatry Diagnosis
Morality In The Anthropocene The Perversion Of Compassion And Punishment In The Online World
Mostly Exploration-Free Algorithms for Contextual Bandits
Motif Explainer-A Motif-based Graph Neural Network Explainer
Movie Recommender System using critic consensus
Movie Mat- Context-aware Movie Recommendation with Matrix Factorization by Matrix Fitting
Movies2Scenes- Using Movie Metadata to Learn Scene Representation
MPSA-Dense Net- A novel deep learning model for English accent classification
MSR-talk-as-given
Multi-factorialanalysisofpolarizationonsocial Media
Multi-Modal Discussion Transformerto Discuss Hate Speech
Multi-Modal Self-Supervised Learning for Recommendation
Multi-party Goal Trackingwith LLMs-Comparing Pre-training, Fine-tuning,and Prompt Engineering
Multi-Task End-to-End Training Improves Conversational Recommendation
Multi Agent As Judge Aligning LLM Agent Based Automated Evaluation With Multi Dimensional Human Evaluation
Multi Agent Collaborative Intelligence Dual Dial Control For Reliable LLM Reasoning
Multiagent Finetuning Self Improvement With Diverse Reasoning Chains
Multi Agent LLM Systems From Emergent Collaboration To Structured Collective Intelligence
Multi Challenge A Realistic Multi Turn Conversation Evaluation Benchmark Challenging To Frontier LLMs
Multi Fusion- Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
Multi Hop-RAG-Benchmarking Retrieval-Augmented Generationfor Multi-Hop Queries
Multi Hop Question Answering Via Reasoning Chains
Multilingual Controllable Transformer-Based Lexical Simplification
Multilingual Language Modelsarenot Multicultural
Multimodal Foundation Models-From Specialiststo General-Purpose Assistants
Multimodal Sarcasm Explanation Generation
Multimodal Task-Oriented Dialoguewith Symbolic Scene Representation
Multi Party Chat Conversational Agents In Group Settings With Humans And Models
Multistep Consistency Models
Multitask learning for recognizing stress and depression in social media
Multi Token Attention
MUSER- A M Ulti-Step Evidence Retrieval Enhancement Framework for Fake News Detection
Music
Music LM Generating Music From Text
My Boyfriend Is AIA Computational Analysis Of Human AI Companionship In Reddit's AI Community
Myth QA-Query-Based Large-Scale Check-Worthy Claim Detection Question Answering
Narrative as a Dynamical System
Narratives-of-hate_Post-7-Oct
Narrativesof War-Ukrainian Memetic Warfareon Twitter
Native Sparse Attention Hardware Aligned And Natively Trainable Sparse Attention
Natural Emergent Misalignment From Reward Hacking In Production Rl
Natural Language Generationfor Advertising
Natural Language Instructions Induce Compositional Generalization In Networks Of Neurons
Natural Language Processing
Natural Reasoning Reasoning In The Wild With 2.8 M Challenging Questions
Needed Systems Thinking In Public Affairs
Negated Complementary Commonsenseusing LLMs
NENN-Incorporate Nodeand Edge Featuresin Graph Neural Networks
Nested Attention Semantic Aware Attention Values For Concept Personalization
Nested Learning The Illusion Of Deep Learning Architecture
Nested Learning The Illusion Of Deep Learning Architectures
Neural Exploitation and Exploration of Contextual Bandits
Neural Approachesto Conversational AI
Neural Assistant Joint Action Prediction,Response Generation,And Latent Knowledge Reasoning
Neural Collaborative Filtering∗
Neural Collaborative Filteringvs Matrix Factorization Revisited
Neural Conversation Modelsand Howto Rein Themin-A Survey of Failuresand Fixes
Neural Topic Modeling Of Psychotherapy Sessions
Neuro QLA Neuro Symbolic Language And Dataset For Inter Subjective Reasoning
Neuro Symbolic AI In 2024 A Systematic Review
Neurosymbolic AI Why,What,And How
Neutralizing Bias In LLM Reasoning Using Entailment Graphs
Never-ending Learningof User Interfaces
New Future Of Work_Report 2023
News Verifiers Showdown-A Comparative Performance Evaluation
News Article Interaction Patternson Facebook
NEWSDIALOGUES-Towards Proactive News Grounded Conversation
News Sentiment Embeddings For Stock Price Forecasting
News Source Citing Patterns In AI Search Systems
Nex N 1 Agentic Models Trained Via A Unified Ecosystem For Large Scale Environment Construction
Next Stepsfor Human-Centered Generative AI
NLP-baseddetectionofsystematicanomaliesamong thenarrativesofconsumercomplaints
Non-Human Words-On GPT-3 as a Philosophical Laboratory
NOTABLE- Transferable Backdoor Attacks Against Prompt-based NLP Models
Not All Parameters Are Created Equal Smart Isolation Boosts Fine Tuning Performance
No That’s Not What I Meant Handling Third Position Repair In Conversational Question Answering
Novelty Bench Evaluating Language Models For Humanlike Diversity
No Zero Shot Without Exponential Data Pretraining Concept Frequency Determines Multimodal Model Performance
o1 Replication Journey A Strategic Progress Report Part 1
Octopus V 2 On Device Language Model For Super Agent
Octopus V 4 Graph Of Language Models
Off Policy Evaluation For Large Action Spaces Via Policy Convolution
OLD PDF Titles
Olio-A Semantic Search Interfacefor Data Repositories
Omni Parser For Pure Vision Based GUI Agent
Omni Thinker Scaling Multi Task RL In LLMs With Hybrid Reward And Task Scheduling
Omni Think Expanding Knowledge Boundaries In Machine Writing Through Thinking
On Distillation of Guided Diffusion Models
On the Amplification of Linguistic Bias through Unintentional Self-reinforcement Learning by Generative Language Models— A Perspective
On the Mathematics of Diffusion Models
On the Planning Abilities of Large Language Models - A Critical Investigation
On the Planning Abilities of Large Language Models - A Critical Investigation v2
On the Robustness of Aspect-based Sentiment Analysis- Rethinking Model, Data and Training
On the Robustness of Generative Retrieval Models- An Out-of-Distribution Perspective
On the Unexpected Abilities of Large Language Models
On Defining Artificial Intelligence
One Thousand And One Pairs A"novel"Challenge For Long Context Language Models
One Wide Feedforwardis All You Need
On Faithfulnessand Factualityin Abstractive Summarization
On Generative Agentsin Recommendation
On Information Distortionsin Online Ratings
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation
Online Intrinsic Rewards For Decision Making Agents From Large Language Model Feedback
Online Learning for Recommendationsat Grubhub
Online Social Network Sharing As Strategic Interaction
On Monotonic Aggregationfor Open-domain QA
On Policy RL Meets Off Policy Experts Harmonizing Supervised Fine Tuning And Reinforcement Learning Via Dynamic Weighting
On Predictive Planning And Counterfactual Learning In Active Inference
On The Adaptive Psychological Persuasion Of Large Language Models
On The Binding Problem In Artificial Neural Networks
Onthe Convergenceof Bounded Agents
On The Conversational Basis Of Some Presuppositions
Onthe Effectivenessof Offline R Lfor Dialogue Response Generation
On The Impact Of Fine Tuning On Chain Of Thought Reasoning
On The Interplay Of Pre Training,Mid Training,And RL On Reasoning Language Models
On The Limits Of Innate Planning In Large Language Models
On The Persona Based Summarization Of Domain Specific Documents
Onthe Planning,Search,and Memorization Capabilitiesof Large Language Models
On The Reasoning Capacity Of AI Models And How To Quantify It
On The Relationship Between Sentence Analogy Identification And Sentence Structure Encoding In Large Language Models
Onthe Roles Of LLMs In Planning Embedding LLMs Into Planning Graphs
Onthe Societal Impactof Open Foundation Models
On The Theoretical Limitations Of Embedding Based Retrieval
Open-domain Question Answering
Open Agents An Open Platform For Language Agents In The Wild
OpenAIO 3 Mini System Card
Open Assistant Conversations -- Democratizing Large Language Model Alignment
Open Dial KG Explainable Conversational Reasoning With Attention Based Walks Over Knowledge Graphs
Openingup ChatGPT-Openness,transparency,and accountability
Open Intent Discovery Through Unsupervised Semantic Clustering And Dependency Parsing
Open Models,Closed Minds?On Agents Capabilities In Mimicking Human Personalities Through Open Large Language Models
Open Problemsand Fundamental Limitationsof Reinforcement Learning from Human Feedback
Open Problems In Mechanistic Interpretability
Open RFT Adapting Reasoning Foundation Model For Domain Specific Tasks With Reinforcement Fine Tuning
Open Thoughts Data Recipes For Reasoning Models
Operating Multi Client Influence Networks Across Platforms
Opinion Tree Parsing for Aspect-based Sentiment Analysis
Opinion Conv-Conversational Product Searchwith Grounded Opinions
Op inion f orm ationonsocialnetw orks w ith algorithmicbias
Opinion GPT-Modelling Explicit Biasesin Instruction-Tuned LLMs
Opinionminingusingpopulation-tuned Generativelanguagemodels
Opponentsandproponentsofthewarin Ukraine in Russiansocialmedi-whoarethey?
Opportunities for Large Language Models and Discourse in Engineering Design
Opportunities For Large Language Models And Discourse In Engineering Design
Optimal Design For Adaptive In Context Prompt Tuning In Large Language Models
Optimal Thinking Bench Evaluating Over And Underthinking In LLMs
Optimizing Airbnb Search Journey with Multi-task Learning
Optimizing Encoder Only Transformers For Session Based Recommendation Systems
Optimizing Factual Accuracyin Text Generation through Dynamic Knowledge Selection
Orchestrating Synthetic Data With Reasoning
O Reilly AI Value Creator
Our Nudges,Our Selves-Tailoring Mobile User Engagement Using Personality
Outcome Based Exploration For LLM Reasoning
OUTFOX-LLM-generated Essay Detectionthrough In-context Learning
Outrageously Large Neural Networks The Sparsely Gated Mixture Of Experts Layer
Overcoming Catastrophic Forgettingin Graph Neural Networks with Experience Replay
Overconfidence In LLM As A Judge Diagnosis And Confidence Driven Solution
Overview Of Dial AM 2024 Argument Mining In Natural Language Dialogues
Oxford TVG-HIC-Can Machine Make Humorous Captionsfrom Images
p 177-sidebyside.mp 4
p 43.mp 4
p 447-koren.mp 4
Pa LM Scaling Language Modelingwith Pathways
Panda LM-An Automatic Evaluation Benchmarkfor LLM Instruction Tuning Optimization
Paper QA Retrieval Augmented Generative Agent For Scientific Research
Paradigm Shiftin Sustainability Disclosure Analysis
Part I Tricks Or Traps?A Deep Dive Into RL For LLM Reasoning
Party Predictionfor Twitter
Passive learning of active causal strategies in agents and language models
Pasta-pretrainedaction-statetransformer Agents
Pathsto Influence–How Coordinated Influence Operations Affectthe Prominenceof Ideas
PATIENTΨUsing Large Language Models To Simulate Patients For Training Mental Health Professionals
Patterns and Pathways-Applying Social Network Analysis to Understand User Behavior in the Tourism Industry Websites
Pddl The Planning Domain Definition Language
PDF Titles
PEER Expertizing Domain Specific Tasks With A Multi Agent Framework And Tuning Methods
PEERINGTHROUGHPREFERENCES-UNRAVELING Feedbackacqu is ition f oralign inglarge l anguage models
Peer Surveillancein Online Communities
People Cannot Distinguish GPT 4 From A Human In A Turing Test
Perceived Trustworthiness of Natural Language Generators
Perceptualvalueoflexicalandnon-lexicalchannelsinspeech
Performative Thinking?The Brittle Correlation Between Co T Length And Problem Complexity
Perplexity At Work
Per PLM-Personalized Fine-tuningof Pretrained Language Models via Writer-specific Intermediate Learningand Prompts
Persistent Pre Training Poisoning Of LLMs
Pers LLMA Personified Training Approach For Large Language Models
Persona Agent When Large Language Model Agents Meet Personalization At Test Time
Persona Assigned Large Language Models Exhibit Human Like Motivated Reasoning
Persona Gym Evaluating Persona Agents And LLMs
Personalisation Within Bounds A Risk Taxonomy And Policy Framework For The Alignment Of Large Language Models With Personalised Feedback
Personality testing of GPT-3
Personality Detectionand Analysisusing Twitter Data
Personality Traitsin Large Language Models
Personalization Of Large Language Models A Survey
Personalized Dialogue Generation With Persona Adaptive Attention
Personalized Language Modeling From Personalized Human Feedback
Personalizedmovierecommendations basedondeeprepresentationlearning
Personalized Reinforcement Learning Summarizationfrom Unstructured Data
Personalizing Reinforcement Learning From Human Feedback With Variational Preference Learning
Persona PKT- Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer
Persona Vectors Monitoring And Controlling Character Traits In Language Models
Personhood Credentials Artificial Intelligence And The Value Of Privacy
Persuasive Presuppositions
Persuasive To MA Benchmark For Evaluating Machine Theory Of Mind In Persuasive Dialogues
Perturbation Check Lists For Evaluating NLG Evaluation Metrics
Peter Watts_Blindsight
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning
PIPPA-A Partially Synthetic Conversational Dataset
Pixel Level Reasoning Segmentation Via Multi Turn Conversations
Pixels,Patterns,But No Poetry To See The World Like Humans
Plan,Verify And Switch Integrated Reasoning With Diverse X Of Thoughts
Planning In Strawberry Fields Evaluating And Improving The Planning And Scheduling Capabilities Of LR Mo1
Planning Like Human A Dual Process Framework For Dialogue Planning
Plan RAGA Plan Then Retrieval Augmented Generation For Generative Large Language Models As Decision Makers
Planted In Pretraining,Swayed By Finetuning A Case Study On The Origins Of Cognitive Biases In LLMs
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Plug And Play Policy Planner For Large Language Model Powered Dialogue Agents
Polanyi’s Revenge And AI’s New Romance With Tacit Knowledge
Polarized Speech on Online Platforms
Policy Shaping With Human Teachers
Poly Response A Rank Based Approach To Task Oriented Dialogue With Application In Restaurant Search And Booking
POMDP Based Statistical Spoken Dialogue Systems A Review
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Position LLMs Can’t Plan,But Can Help Planning In LLM Modulo Frameworks
Position Towards Bidirectional Human AI Alignment
Post-Hoc Attribute-Based Explanations for Recommender Systems
Post Completion Learning For Language Models
Poster Mate Audience Driven Collaborative Persona Agents For Poster Design
Posting_versus_Lurking_Communicating_in
Post Training For Efficient Communication Via Convention Formation
Post Training Large Language Models Via Reinforcement Learning From Self Feedback
Potemkin Understanding In Large Language Models
Potentialand Pitfallsof ChatGPTor GPT-4asa Clinical Assistant
Pragmatic Implicature Processing In ChatGPT
Precise Zero-Shot Dense Retrieval without Relevance Labels
Predictingthe Popularityof Informationon Social Platforms
Predictive Preference Learning From Human Interventions
PREFER-Prompt Ensemble Learningvia Feedback-Reflect-Refine
Preference Discerning With LLM Enhanced Generative Retrieval
Preference Ranking Optimizationfor Human Alignment
Prefix Tuning Optimizing Continuous Prompts For Generation
PRELUDEA Benchmark Designed To Require Global Comprehension And Reasoning Over Long Contexts
Premise Augmented Reasoning Chains Improve Error Identification In Math Reasoning With LLMs
Premise Order Matters In Reasoning With Large Language Models
Presuppositions Are More Persuasive Than Assertions If Addressees Accommodate Them
Pre Train,Prompt,And Predict A Systematic Survey Of Prompting Methods In Natural Language Processing
Pretrained Language Models As Containers Of The Discursive Knowledge
Pre Trained Policy Discriminators Are General Reward Models
Pretraining Data Mixtures Enable Narrow Model Selection Capabilitiesin Transformer Models
Pretraining Without Attention
Pretrain Zero Reinforcement Active Pretraining
P Rewrite-Prompt Rewritingwith Reinforcement Learning
PRIME Large Language Model Personalization With Cognitive Memory And Thought Processes
Proactive Behavior In Voice Assistants A Systematic Review And Conceptual Model
Proactive Conversational Agents In The Post ChatGPT World
Proactive Conversational Agents With Inner Thoughts
Proactive Human Machine Conversation With Explicit Conversation Goals
Proactive Moderation Of Online Discussions Existing Practices And The Potential For Algorithmic Support
Proactive Systems And Influenceable Users Simulating Proactivity In Task Oriented Dialogues
Pro Agent Building Proactive Cooperative Agents With Large Language Models
Probabilistic Formal Modelling to Uncover and Interpret Interaction Styles
Probabilistic topic models
Probing Structured Semantics Understanding And Generation Of Language Models Via Question Answering
Probing The Multi Turn Planning Capabilities Of LLMs Via 20 Question Games
Problems With Cosine As A Measure Of Embedding Similarity For High Frequency Words
Procedural Knowledge In Pretraining Drives Reasoning In Large Language Models
Process Reward Models That Think
Product Information Extractionusing ChatGPT
Profile Update-The Effectsof Identity Disclosureon Network Connectionsand Language
Program Of Thoughts Prompting Disentangling Computation From Reasoning For Numerical Reasoning Tasks
Progressive Layered Extraction (PLE) - A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations
Progressive Hint Prompting Improves Reasoning In Large Language Models
Progress Measures For Grokking Via Mechanistic Interpretability
Promoting The Emergence Of Team Flow In Organizations
Prompt Learning for News Recommendation
Prompt-Based Length Controlled Generationwith Reinforcement Learning
Prompt,Condition,and Generate-Classificationof Unsupported Claims with In-Context Learning
PROMPT2MODEL- Generating Deployable Modelsfrom Natural Language Instructions
Prompt Based Graph Model For Joint Liberal Event Extraction And Event Schema Induction
Promptbreeder Self Referential Self Improvement Via Prompt Evolution
Prompt Chainer LLMsthrough Visual Programming
Prompt Crafter-Crafting Text-to-Image Promptw LLM
Prompted LLMs As Chatbot Modules For Long Open Domain Conversation
Prompt Engineering For Studentsof Medicineand Their Teachers
Prompt Guided Copy Mechanismfor Conversational Question Answering
Promptinga Large Language Modelto Generate Diverse Motivational Messages
Prompting And Evaluating Large Language Models For Proactive Dialogues Clarification,Target Guided,And Non Collaboration
Prompting Large Language Modelsfor Recommender Systems-A Comprehensive Frameworkand Empirical Analysis
Promptinglargelanguagemodelsforzero-shotdomainadaptation
Prompting Large Language Models With The Socratic Method
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Prompting Science Report 4 Playing Pretend Expert Personas Don't Improve Factual Accuracy
Prompt Programmingfor Large Language Models-Beyondthe Few-Shot Paradigm
Prompt Programming For Large Language Models Beyond The Few Shot Paradigm
Prompt Styler-Prompt-driven Style Generation for Source-free Domain Generalization
Pron Vs Prompt Can Large Language Models Already Challenge A World Class Fiction Author At Creative Text Writing?
Propositional Interpretability In Artificial Intelligence
Pro RL Prolonged Reinforcement Learning Expands Reasoning Boundaries In Large Language Models
Pro SA Assessing And Understanding The Prompt Sensitivity Of LLMs
PROSOCIALDIALOGA Prosocial Backbone For Conversational Agents
Proto Reasoning Prototypes As The Foundation For Generalizable Reasoning In LLMs
Prototypical Contrastive Transfer Learning for Multimodal Language Understanding
Prototyping Theories with ChatGPT- Experiment with the Technology Acceptance Model
Provable Copyright Protectionfor Language Models
Provable Benefits Of In Tool Learning For Large Language Models
Providingpersonalized Explanations-a Conversational Approach
Proxona Leveraging LLM Driven Personas To Enhance Creators'Understanding Of Their Audience
Pseudo Future Contextsfor Emotion Recognitionin Conversations
Psych Adapter Adapting LLM Transformers To Reflect Traits,Personality And Mental Health
Psyche R1 Towards Reliable Psychological LLMs Through Unified Empathy,Expertise,And Reasoning
Psychological,Relational,And Emotional Effects Of Self Disclosure After Conversations With A Chatbot
Psychologically Enhanced AI Agents
Psychotherapy AI Companion With Reinforcement Learning Recommendations And Interpretable Policy Dynamics
Psy DT Using LLMs To Construct The Digital Twin Of Psychological Counselor With Personalized Counseling Style For Psychological Counseling
Publi c andpriv ate beliefs underd isin f orm ation insocial networks
PUMGPT-A Large Vision-Language Modelfor Product Understanding
Pushdown Layers Encoding Recursive Structure In Transformer Language Models
Pushing the Limits of ChatGPT on NLP Tasks
Pushing The Limits Of Rule Reasoning In Transformers Through Natural Language Satisfiability
QA Snowball-An Iterative Bootstrapping Frameworkfor High-Quality Question-Answering Data Generation
Q Do Large Language Models Understand Implicature?A Do Pigs Fly?
Qo S Efficient Serving Of Multiple Mixture Of Expert LLMs Using Partial Runtime Reconfiguration
Quality of Multiple-Choice Questions Using GPT-4
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Quantifying the Impact of Large Language Models on Collective Opinion Dynamics
Quantifyingand Analyzing Entity-level Memorizationin Large Language Models
Quantifying Controversyon Social Media
Quantifying Human AI Synergy
Qu antify inguncerta intyin answers from any L anguagemodelvia intr insi c andextr insic CONFIDENCEASSESSMENT
Quantitative dynamics of design thinking and creativity perspectives in company context
Query Rewriting For Retrieval Augmented Large Language Models
Query Understandinginthe Ageof Large Language Models
Quest Bench Can LLMs Ask The Right Question To Acquire Information In Reasoning Tasks?
Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
Questioning Representational Optimism In Deep Learning The Fractured Entangled Representation Hypothesis
Quiet S Ta R Language Models Can Teach Themselves To Think Before Speaking
R 1 Searcher Incentivizing The Search Capability In LLMs Via Reinforcement Learning
RAG Does Not Work For Enterprises
RAG Gym Systematic Optimization Of Language Agents For Retrieval Augmented Generation
RAGR 1 Incentivize The Search And Reasoning Capabilities Of LLMs Through Multi Query Parallelism
RALLE-A Frameworkfor Developingand Evaluating Retrieval-Augmented Large Language Models
Ranking Free RAG Replacing Re Ranking With Selection In RAG For Sensitive Domains
RARR Researchingand Revising What Language Models Say Using Language Models
RAVEN-In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
Re3-Generating Longer Stories With Recursive Repromptingand Revision
React - Synergizing Reasoning And Acting In Language Models
Real-time Machine Learning For Recommendations
Real-time machine learning_ challenges and solutions
Real-Time Top-N Recommendationin Social Streams
Re ALM Reference Resolution As Language Modeling
Real Time News Story Identification
Real Time Procedural Learning From Experience For AI Agents
Real World Planning With PDDL+And Beyond
Reason Flux PRM Trajectory Aware PR Ms For Long Chain Of Thought Reasoning In LLMs
Reasoning o1 o3 Search
Reasoningbefore Responding-Integrating Commonsense-based Causality Explanationfor Empathetic Response Generation
Reasoning Can Hurt The Inductive Abilities Of Large Language Models
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Reasoning Language Models A Blueprint
Reasoning LLMs Are Wandering Solution Explorers
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Reasoning Models Can Be Effective Without Thinking
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Reasoningor Reciting-Exploringthe Capabilitiesand Limitationsof LLMs
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Reasoning To Learn From Latent Thoughts
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Rec Explainer Aligning Large Language Models For Recommendation Model Interpretability
Recitation-augmentedlanguage Models
Recommendation as Instruction Following- A Large Language Model Empowered Recommendation Approach
Recommendation systems and convergence of online reviews-The type of product network matters
Recommendation As Language Processing(RLP)A Unified Pretrain,Personalized Prompt&Predict Paradigm(P 5)
Recommendation System Simulations-A Discussionof Two Key Challenges
Recommender AI Agent Integrating Large Language Models For Interactive Recommendations
Recommender Systemsinthe Eraof Large Language Models(LLMs)
Recommender Systemswith Generative Retrieval
Recommender Systemswith Social Regularization
Recommending What Video to Watch Next-A Multitask Ranking System
Recommendingfeatured poststocontentmoderators
Re Concile Round Table Conference Improves Reasoning Via Consensus Among Diverse LLMs
Reconcilingtheaccuracy-diversitytrade-offinrecommendations
Recsvia Attentive Multi-Persona Collaborative Filtering
Recurrence-attentionnetworkforemotionrecognitionintextualdialogue
Recurr ingp atternsin onl inesocialmedia interactions duringevents
Recursive Introspection Teaching Language Model Agents How To Self Improve
Recursive Language Models
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
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Re FT Representation Finetuning For Language Models
Reinforced Language Models For Sequential Decision Making
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Reinforcement Learning Finetunes Small Subnetworks In Large Language Models
Reinforcement Learning For Optimizing RAG For Domain Chatbots
Reinforcement Learning For Reasoning In Large Language Models With One Training Example
Reinforcement Learning With Rubric Anchors
Reinforcement Pre Training
Reinforcing General Reasoning Without Verifiers
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Repeat After Me Transformers Are Better Than State Space Models At Copying
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Repre Guard Detecting LLM Generated Text By Revealing Hidden Representation Patterns
Representation Biases Will We Achieve Complete Understanding By Analyzing Representations?
Representation Engineering A Top Down Approach To AI Transparency
Reranking Based Generation For Unbiased Perspective Summarization
Re Search Learning To Reason With Search For LLMs Via Reinforcement Learning
Researchy Questions A Dataset Of Multi Perspective,Decompositional Questions For LLM Web Agents
Resonance As A Design Strategy For AI And Social Robots
Response-Emergentanalogicalreasoninginlarge languagemodels
Ret Gen- A Joint framework for Retrieval and Grounded Text Generation Modeling
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Rethinking With Retrieval Faithful Large Language Model Inference
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Rev Core Review Augmented Conversational Recommendation
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Reward Reasoning Model
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Rewards In Context Multi Objective Alignment Of Foundation Models With Dynamic Preference Adjustment
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RL+Transformer=A General Purpose Problem Solver
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RLHF Workflow From Reward Modeling To Online RLHF
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RLP Reinforcement As A Pretraining Objective
RLPR Extrapolating RLVR To General Domains Without Verifiers
RL Squeezes,SFT Expands A Comparative Study Of Reasoning LLMs
RLS Ta R Theoretical Analysis Of Reinforcement Learning Frameworks For Self Taught Reasoner
RLVER Reinforcement Learning With Verifiable Emotion Rewards For Empathetic Agents
RLVMR Reinforcement Learning With Verifiable Meta Reasoning Rewards For Robust Long Horizon Agents
RMR 1 Reward Modeling As Reasoning
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Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Robust Hate Speech Detectionin Social Media
Rocar-arelationshipnetwork-basedevaluation Methodtolargelanguagemodels
Role-Playwith Large Language Models
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Roleplaywithlargelanguagemodels
Route LLM Learning To Route LLMs With Preference Data
R Star 2 Agent Agentic Reasoning Technical Report
Rubrics As Rewards Reinforcement Learning Beyond Verifiable Domains
Rule 2 Text Natural Language Explanation Of Logical Rules In Knowledge Graphs
Rule By Example-Harnessing Logical Rulesfor Explainable Hate Speech Detection
Russo-Ukrainian War- Prediction and explanation of Twitter suspension
R Zero Self Evolving Reasoning LLM From Zero Data
S 1 Bench A Simple Benchmark For Evaluating System 1 Thinking Capability Of Large Reasoning Models
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Scaling Reasoning,Losing Control Evaluating Instruction Following In Large Reasoning Models
Scaling Scaling Lawswith Board Games
Scaling Synthetic Data Creation With 1,000,000,000 Personas
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Sci Topic Enhancing Topic Discovery In Scientific Literature Through Advanced LLM
Screen AIA Vision Language Model For UI And Infographics Understanding
SDPO Segment Level Direct Preference Optimization For Social Agents
SEAL Self Evolving Agentic Learning For Conversational Question Answering Over Knowledge Graphs
Seamless M4T—Massively Multilingual&Multimodal Machine Translation
Search Arena Analyzing Search Augmented LLMs
Searching_for_Salient_Aspects_of_Resonant_Interact
Searching For Best Practices In Retrieval Augmented Generation
Search o1 Agentic Search Enhanced Large Reasoning Models
Search R1 Training LLMs To Reason And Leverage Search Engines With Reinforcement Learning
Secretsof RLH Fin Large Language Models-Part 1
Seeing,Listening,Remembering,And Reasoning A Multimodal Agent With Long Term Memory
See You Soon Again,Chatbot?A Design Taxonomy To Characterize User Chatbot Relationships With Different Time Horizons
Segment Anything
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Self Selection and Information Role of Online Product Reviews
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Self-Attentive Sequential Recommendation
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Self-Rewarding Language Models
Self-Supervised Alignment with Mutual Information
Self-Supervised Post-trainingfor Conversational Search
Self-Taught Evaluators
Self Adapting Language Models
Selfcheck-usingllmstozero-shotcheck Theirownstep-by-stepreasoning
Self Critiquing Models For Assisting Human Evaluators
Self Directed Synthetic Dialogues And Revisions Technical Report
Self Discover Large Language Models Self Compose Reasoning Structures
Self Evaluation Guided Beam Search For Reasoning
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Self Instruct Aligning Language Models With Self Generated Instructions
Self Organizing Graph Reasoning Evolves Into A Critical State For Continuous Discovery Through Structural Semantic Dynamics
Self Organizing Neural Network That Discovers Surfaces In Random Dot Stereograms
Self Play Fine Tuning Converts Weak Language Modelsto Strong Language Models
Self Questioning Language Models
Self RAG Learning To Retrieve,Generate,And Critique Through Self Reflection
Self Reasoning Language Models Unfold Hidden Reasoning Chains With Few Reasoning Catalyst
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Self Reflective Uncertainties Do LLMs Know Their Internal Answer Distribution?
Self Reinforcing Cascades A Spreading Model For Beliefs Or Products Of Varying Intensity Or Quality
Self Rewarding Vision Language Model Via Reasoning Decomposition
Self Supervised Modelsofspeechinfer Universalarticulatorykinematics
Semantic Change Characterization With LLMs Using Rhetorics
Semantic Equivalenceofe-Commerce Queries
Semantic Parsing For Task Oriented Dialog Using Hierarchical Representations
Semantic Polarizationin Broadcast Media_Social Media Discourse
Semantic Specialization For Knowledge Based Word Sense Disambiguation
Semantic Structure In Large Language Model Embeddings
Sentiment Semantics Toxic Detections
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Sequence Organization in Interaction A Primer in Conversation Analysis
Sequence Match-Imitation Learning for Autoregressive Sequence Modellingwith Backtracking
SERL Self Examining Reinforcement Learning On Open Domain
Serverless,Permissionless Protocolsfor Twitter:Linked In:Whats App
Session-based Recommendation with Graph Neural Networks
Session Based Recommendations With Recurrent Neural Networks
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Shaping Explanations Semantic Reward Modeling With Encoder Only Transformers For GRPO
Shaping Online Dialogue-Examining How Community Rules Affect Discussion Structureson Reddit
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Should Humans Lie To Machines?The Incentive Compatibility Of Lasso And General Weighted Lasso
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Show UI One Vision Language Action Model For GUI Visual Agent
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Significant-attributed Community Searchin Heterogeneous Information Networks
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Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learning
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Simple Linguistic Inferences Of Large Language Models(LLMs)Blind Spots And Blinds
Simplesyn theticdat areducessycoph ancy in LARGELANGUAGEMODELS
Simply Retrieve-A Privateand Lightweight Retrieval-Centric Generative AI Tool
Sim PO Simple Preference Optimization With A Reference Free Reward
Simulacraas Conscious Exotica
Simulated Contextual Banditsfor Personalization Tasksfrom Recommendation Datasets
Simulating Society Requires Simulating Thought
Single Agent Or Multi Agent Systems?Why Not Both?
Sing Song- Generating musical accompaniments from singing
SIRS_Modality Poster_26 MAR 2024 Final_AK
Situating Recommender Systemsin Practice-Towards Inductive Learningand Incremental Updates
situationalawareness
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Skills In Context Prompting Unlocking Compositionality In Large Language Models
Sleep Time Compute Beyond Inference Scaling At Test Time
Small Language Models Are The Future Of Agentic AI
Small LLMs Are Weak Tool Learners A Multi LLM Agent
Smart Homes-Effects of Interaction Conflicts, Levels of Automation
Social Media Analytics in Disaster Response
Social Skill Training with Large Language Models
Social A Iandthe Challengesofthe Human-AI Ecosystem
Social Media Language Understanding
Social Responses To Media Technologies In The 21 st Century The Media Are Social Actors Paradigm
Social Robots For Long Term Interaction A Survey
Social Transparency In Networked Information Exchange A Theoreticalframework
Social World Knowledge-Modelingand Applications
Socra Synth Multi LLM Reasoning With Conditional Statistics
Soft Thinking Unlocking The Reasoning Potential Of LLMs In Continuous Concept Space
Soft Tokens,Hard Truths
SOLOIST Building Task Bots At Scale With Transfer Learning And Machine Teaching
Solving Dialogue Grounding Embodied Task in a Simulated Environment using Further Masked Language Modeling
Solving olympiad geometry without human demonstrations
Solving A Million Step LLM Task With Zero Errors
Solvingand Generating NPR Sunday Puzzles
SONAR-Sentence-Level Multimodal and Language-Agnostic Representations
Sora A Review On Background,technology,limit ations,and Opportunities Of Large Vision Models
SOTOPIA Interactive Evaluation For Social Intelligence In Language Agents
Source-Aware Embedding Training
Sources Of Hallucination By Large Language Models On Inference Tasks
S Par C Cross-Domain Semantic Parsingin Context
Sparks of Artificial General Intelligence- Early experiments with GPT-4
Speaking the Language of Your Listener- Audience-Aware Adaptation via Plug-and-Play Theory of Mind
Specious Sites-Trackingthe Spreadand Swayof Spurious News Storiesat Scale
Speed Always Wins A Survey On Efficient Architectures For Large Language Models
SPICE Self Play In Corpus Environments Improves Reasoning
Spiking Brain Technical Report Spiking Brain Inspired Large Models
Spline Cam Exact Visualization And Characterization Of Deep Network Geometry And Decision Boundaries
Spreadsheet LLM Encoding Spreadsheets For Large Language Models
SPRING- GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning
Spurious Forgetting In Continual Learning Of Language Models
Spurious Rewards Rethinking Training Signals In RLVR
SSRL Self Search Reinforcement Learning
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stable_diffusion_a_tutorial
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Stanford Human Centered Artificial Intelligence Report 2024
S Ta R-GATE- Teaching Language Models to Ask Clarifying Questions
Startup Technical Guide AI Agents
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State Of The Art Economic Development Through The Lens Of Paintings
Statistical And Algorithmic Foundations Of Reinforcement Learning
Steer LM Attribute Conditioned SFT As An(User Steerable)Alternative To RLHF
Step Wiser Stepwise Generative Judges For Wiser Reasoning
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Stop Overthinking A Survey On Efficient Reasoning For Large Language Models
Strategic Communication and Deliberation on Climate Change of different Actor Groups using Twitter
Strategic Reasoning with Language Models
Streaming Graph Neural Networksvia Continual Learning
Stream Of Search(So S)Learning To Search In Language
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Struct GPTA General Framework For Large Language Model To Reason Over Structured Data
Struct RAG Boosting Knowledge Intensive Reasoning Of LLMs Via Inference Time Hybrid Information Structurization
Structure and Content-Guided Video Synthesis with Diffusion Models
Structured And Natural Responses Co Generation For Conversational Search
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Style2Fab-Functionality-Aware Segmentationfor Fabricating Personalized3D Modelswith Generative AI
Style GA Nknows Normal,Depth,Albedo,and More
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Subjective Crowd Disagreementsfor Subjective Data-Uncovering Meaningful Crowd Opinionwith Population-level Learning
Subliminal Learning Language Models Transmit Behavioral Traits Via Hidden Signals In Data
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Supervised Attention Using Homophilyin Graph Neural Networks
Supervised Pretraining Can Learn In-Context Reinforcement Learning
Supervisor Bot NLP Annotated Real Time Recommendations Of Psychotherapy Treatment Strategies With Deep Reinforcement Learning
Supporting Physical Activity Behavior Change With LLM Based Conversational Agents
Suppressing Pink Elephants With Direct Principle Feedback
Survey of Hallucination in Natural Language Generation
Survey of Transformers
Surveying The Effects Of Quality,Diversity,And Complexity In Synthetic Data From Large Language Models
SURVEYLM-APLATFORMTOEXPLOREEMERGINGVALUE Perspectives inaugmented l anguagemodels’ BEHAVIORS
Survey On Evaluation Of LLM Based Agents
Suspicion Agent Playing Imperfect Information Games With Theory Of Mind Aware Gpt 4
Swin Transformer Hierarchical Vision Transformerusing Shifted Windows
Sycophancy Mitigation Through Reinforcement Learning With Uncertainty Aware Adaptive Reasoning Trajectories
Sycophancy To Subterfuge Investigating Reward Tampering In Large Language Models
Sym Agent A Neural Symbolic Self Learning Agent Framework For Complex Reasoning Over Knowledge Graphs
Symbol LLM Towards Foundational Symbol Centric Interface For Large Language Models
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The Consensus Game Language Model Generation Via Equilibrium Search
The Co T Encyclopedia Analyzing,Predicting,And Controlling How A Reasoning Model Will Think
The Cultural Psychologyof Large Language Models-Is ChatGPTa Holisticor Analytic Thinker?
The Decrypto Benchmark For Multi Agent Reasoning And Theory Of Mind
The Demon Is In Ambiguity Revisiting Situation Recognition With Single Positive Multi Label Learning
The Digital Therapeutic Alliance And Human Computer Interaction
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The Matrix Calculus You Need For Deep Learning
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The Netflix Recommender System-Algorithms,Business Value, and Innovation
Theorem Of Thought A Multi Agent Framework For Abductive,Deductive,And Inductive Reasoning In Language Models
Theoretical Limitations of Self-Attention in Neural Sequence Models
Theory of Mind May Have Spontaneously Emerged in Large Language Models
Theory Of Knowledge Based On The Idea Of The Discursive Space
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Theoryof Mindas Intrinsic Motivationfor Multi-Agent Reinforcement Learning
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Thepoisonofalignment
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The Serial Scaling Hypothesis
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The Social Component Of The Projection Behavior Of Clausal Complement Contents
The State Of Enterprise AI
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The Unreasonable Ineffectiveness Of The Deeper Layers
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The Xeno Sutra Can Meaning And Value Be Ascribed To An AI Generated"Sacred"Text?
Think-on-Graph-Deep Responsible Reasoningof LLMwith Knowledge Graph
Thinkbeforeyouspeak- Training Language Models With Pause Tokens
Think Deep,Think Fast Investigating Efficiency Of Verifier Free Inference Time Scaling Methods
Thinker-Learningto Planand Act
Think In Games Learning To Reason In Games Via Reinforcement Learning With Large Language Models
Thinking Assistants LLM Based Conversational Assistants That Help Users Think By Asking Rather Than Answering
Thinking Augmented Pre Training
Thinking Forward And Backward Effective Backward Planning With Large Language Models
Thinking In Character Advancing Role Playing Agents With Role Aware Reasoning
Thinking Inside The Mask In Place Prompting In Diffusion LLMs
Thinkinglikeanexpert-multimodal Hypergraph-of-thought(hot)reasoningtoboost Foundationmodals
Thinking LLMs General Instruction Following With Thought Generation
Thinking Vs.Doing Agents That Reason By Scaling Test Time Interaction
Think In Memory Recalling And Post Thinking Enable LLMs With Long Term Memory
Thinkless LLM Learns When To Think
Think Like A Person Before Responding A Multi Faceted Evaluation Of Persona Guided LLMs For Countering Hate
Think Twice Before Trusting Self Detection For Large Language Models Through Comprehensive Answer Reflection
Think Twice Enhancing LLM Reasoning By Scaling Multi Round Test Time Thinking
Thisisnotcorrect!Negation-aware Evaluation of Language Generation Systems
Thought Anchors Which LLM Reasoning Steps Matter?
Thought Communication In Multiagent Collaboration
Thoughts Are All Over The Place On The Underthinking Of o1 Like LLMs
Thoughts Without Thinking Reconsidering The Explanatory Value Of Chain Of Thought Reasoning In LLMs Through Agentic Pipelines
Thousands of AI Authors on the Future of AI
Thread A Logic Based Data Organization Paradigm For How To Question Answering With Retrieval Augmented Generation
Three-way Decisionswith Evaluative Linguistic Expressions
Three Waysof Using Large Language Modelsto Evaluate Chat
Throughthe Lensof Core Competency-Survey on Evaluation of Large Language Models
Through The Lens Of Human Human Collaboration A Configurable Research Platform For Exploring Human Agent Collaboration
Ti Mo E Time Aware Mixture Of Language Experts
Tina Tiny Reasoning Models Via LoRA
Titans Learning To Memorize At Test Time
Tn TLLM Text Mining At Scale With Large Language Models
TOC
To Classifyisto Interpret-Building Taxonomiesfrom Heterogeneous Data through Human-AI Collaboration
To Co T Or Not To Co T?Chain Of Thought Helps Mainly On Math And Symbolic Reasoning
Token Former Rethinking Transformer Scaling With Tokenized Model Parameters
Too Good To Be Bad On The Failure Of LLMs To Role Play Villains
Tool Flow Boosting LLM Tool Calling Through Natural And Coherent Dialogue Synthesis
Toolformer Language Models Can Teach Themselves to Use Tools
Top 50 Large Language Model(LLM)Interview Questions
Topic Modelingin Embedding Spaces
Topic Shift Detectionfor Mixed Initiative Response
Top Of The Class Benchmarking Llm Agents On Real World Enterprise Tasks
Topology Of Reasoning Understanding Large Reasoning Models Through Reasoning Graph Properties
To Tell The Truth Language Of Deception And Language Models
Tourist Attractions Recommendation based on Attention Knowledge Graph Convolution Network
Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks
Toward Conversational Agents With Context And Time Sensitive Long Term Memory
Toward Reasonable Parrots Why Large Language Models Should Argue With Us By Design
Towards Explainable Conversational Recommender Systems
Towards Open-World Product Attribute Mining- A Lightly-Supervised Approach
Towards Social Generative AI for Education- Theory, Practices and Ethics
Towards solving ontological dissonance using network graphs
Towards Theory-based Moral AI- Moral AI with Aggregating Models Based on Normative Ethical Theory
Towards Topic-Guided Conversational Recommender System
Towards Ubiquitous Semantic Metaverse- Challenges, Approaches, and Opportunities
Towardsa Better Understanding of Learning with Multiagent Teams
Towardsa Comprehensive Human-Centred Evaluation Frameworkfor Explainable AI
Towards A Deeper Understanding Of Reasoning Capabilities In Large Language Models
Towardsafullyunsuperv isedframew ork for intent INDUCTIONINCUSTOMERSUPPORTDIALOGUES
Towards Agentic RAG With Deep Reasoning A Survey Of RAG Reasoning Systems In LLMs
Towards A Holistic Landscape Of Situated Theory Of Mind In Large Language Models
Towards Algorithmic Experience
Towards A Mechanistic Interpretation Of Multi Step Reasoning Capabilities Of Language Models
Towardsa Neural Erain Dialogue Managementfor Collaboration
Towards A Science Of Scaling Agent Systems
Towards Collective Superintelligence A Pilot Study
Towards Conversational Recommendation Over Multi Type Dialogs
Toward Self Improvement Of LLMs Via Imagination,Searching,And Criticizing
Towards Empathetic Open Domain Conversation Models A New Benchmark And Dataset
Towards Faithfully Interpretable NLP Systems How Should We Define And Evaluate Faithfulness?
Towards General Text Embeddingswith Multi-stage Contrastive Learning
Towards Global,Socio-Economic,and Culturally Aware Recommender Systems
Towardshealthyai-largelanguagemodelsneedtherapiststoo
Towards Human Centered Proactive Conversational Agents
Towards Large Reasoning Models A Survey On Scaling LLM Reasoning Capabilities
Towards Machine Theory Of Mind With Large Language Model Augmented Inverse Planning
Towardsmorehuman-likeaicommunication
Towards Objective Evaluation of Socially-Situated Conversational Robots- Assessing Human-Likenessthrough Multimodal User Behaviors
Towards One-Shot Learning for Text Classificationusing Inductive Logic Programming
Towards Open-Domain Topic Classification
Towards Optimal Learning Of Language Models
Towards Principled Evaluations Of Sparse Autoencoders For Interpretability And Control
Towards Question-based Recommender Systems
Towards Reasoning Era A Survey Of Long Chain Of Thought For Reasoning Large Language Models
Towards Resolving Word Ambiguitywith Word Embeddings⋆
Towards Robustand Efficient Continual Language Learning
Towards Semantically Enriched Embeddings for Knowledge Graph Completion
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Towards Understanding Counseling Conversations Domain Knowledge And Large Language Models
Towards Understanding Sycophancy In Language Models
Towards Understanding Sycophancy In Language Modelsv 5
Towards Unified Keyframe Propagation Models
Towards Universal Interactionfor Extended Reality
Toward Transparent AIA Survey On Interpreting The Inner Structures Of Deep Neural Networks
Toward Unified Controllable Text Generationvia Regular Expression Instruction
Training Compute-Optimal Large Language Models copy
Training Data Extraction From Pre-trained Language Models- A Survey
Training A Generally Curious Agent
Trainingdata-efficientimagetransformers&distillationthroughattention
Training Dialogue Systems By AI Feedback For Improving Overall Dialogue Impression
Training Language Models For Social Deduction With Multi Agent Reinforcement Learning
Training Language Models To Be Warm And Empathetic Makes Them Less Reliable And More Sycophantic
Training Language Models To Follow Instructions With Human Feedback
Training Language Models To Self Correct Via Reinforcement Learning
Training Large Language Models For Reasoning Through Reverse Curriculum Reinforcement Learning
Training Large Language Models To Reason In A Continuous Latent Space
Training Long Context,Multi Turn Software Engineering Agents With Reinforcement Learning
Training Nonlinear Transformers For Chain Of Thought Inference A Theoretical Generalization Analysis
Training Towards Critical Use-Learningto Situate AI Predictions Relativeto Human Knowledge
Train Long,Think Short Curriculum Learning For Efficient Reasoning
Trans Act- Transformer-based Realtime User Action Model for Recommendation at Pinterest
Transcendence Generative Models Can Outperform The Experts That Train Them
Transformer-Empowered Content-Aware Collaborative Filtering
Transformer 2 Self Adaptive Llms
Transformer Based Cynical Expression Detection In A Corpus Of Spanish YouTube Reviews
Transformer FAM Feedback Attention Is Working Memory
Transformers Are SS Ms Generalized Models And Efficient Algorithms Through Structured State Space Duality
Transformersfor English Implicit Discourse Relation Classification
Transforming Sentiment Analysisinthe Financial Domainwith ChatGPT
TREA-Tree-structure Reasoning Schemafor Conversational Recommendation
TRECC As T 2021 The Conversational Assistance Track Overview
TRECIKAT 2023 A Test Collection For Evaluating Conversational And Interactive Knowledge Assistants
Treeof Thoughts-Deliberate Problem Solving with Large Language Models
Tree ofuncerta inthoughtsre ason ing f orlarge l anguage models
Tree RLLLM Reinforcement Learning With On Policy Tree Search
Tree Search For Language Model Agents
Trends_Artificial_Intelligence
Trendsand Topics-Characterizing Echo Chambers’ Topological Stabilityand In-group Attitudes
Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets
Triggering Hallucinations In LLMs A Quantitative Study Of Prompt Induced Hallucination In Large Language Models
Truly Self Improving Agents Require Intrinsic Metacognitive Learning
Tr UM An-Trope Understandingin Movies
Trust-basedrecommendationsystems- anaxiomaticapproach
Trust In Human AI Interaction Scoping Out Models,Measures,And Methods
Trust LLM Trustworthiness In Large Language Models
Trust SVD-Collaborative Filteringwith Boththe Explicitand Implicit Influenceof User Trustandof Item Ratings
Trustworthy Retrieval Augmented Chatbot
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Truth RL Incentivizing Truthful LLMs Via Reinforcement Learning
Tryage-Real-time,Intelligent Routingof User Promptsto Large Language Models
TTRL Test Time Reinforcement Learning
Tube 2 Vec-Socialand Semantic Embeddingsof YouTube Channels
TUBERAIDER-Attributing Coordinated Hate Attackson YouTube Videostotheir Source Communities
Tulu 3 Pushing Frontiers In Open Language Model Post Training
Tuning Language Models By Proxy
Turing Complete Transformers Two Transformers Are More Powerful Than One
Turn Every Application Into An Agent Towards Efficient Human Agent Computer Interaction With API First LLM Based Agents
Turning large language models into cognitive models
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Turn Takingandbackchannelpredictionwith Acousticandlargelanguagemodelfusion
Tweet Sentiment Extractionusing Viterbi Algorithmwith Transfer Learning
Twits,Toxic Tweets,and Tribal Tendencies-Trendsin Politically Polarized Postson Twitter
Twitters Algorithm-Amplifying Anger,Animosity,and Affective Polarization
Two-Stage Prefix-Tuning Frameworkfor Knowledge-Grounded Dialogue Generation
TWOSTEP Multi Agent Task Planning Using Classical Planners And Large Language Models
Two Tales Of Persona In LLMs A Survey Of Role Playing And Personalization
Typed RAG Type Aware Multi Aspect Decomposition For Non Factoid Question Answering
U-Net-Convolutional Networksfor Biomedical Image Segmentation
UIJEPA Towards Active Perception Of User Intent Through Onscreen User Activity
Uncertainty Of Thoughts Uncertainty Aware Planning Enhances Information Seeking In Large Language Models
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Understanding,Explaining,And Utilizing Medical Artificial Intelligence
“Understanding AI”Semantic Grounding In Large Language Models
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Understanding Complex Interactionswith Multi-Characterand Novel Objectsby Large Language Models
Understanding Counterspeechfor Online Harm Mitigation
Understanding Deep Learning_07_02_24_C
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Understanding of Left-Wing Extremistson Social Media
Understanding Social Reasoningin Language Models
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Understandingthe Useof Fauxtographyon Social Media
Understanding Tool Integrated Reasoning
Unified Conversational Models
Unified Conversational Recommendation Policy Learning Via Graph Based Reinforcement Learning
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Unsupervised Dense Information Retrieval with Contrastive Learning
Unsupervised Melody-to-Lyric Generation
Unsupervised Calibrationthrough Prior Adaptation for Text Classification
Unsupervised Elicitation Of Language Models
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Upvotes?Downvotes?No Votes?Reddit
UR 2 Unify RAG And Reasoning Through Reinforcement Learning
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User Centric Conversational Recommendation With Multi Aspect User Modeling
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User Identity Linkagein Social Media Using Linguisticand Social Interaction Features
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Using Language
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UX Heuristicsand Checklistfor Deep Learning Image Classification
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Value-based Fastand Slow AI Nudging
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Variational Autoencodersfor Collaborative Filtering
VC Bench Benchmarking LLMs In Venture Capital
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Video Diffusion Tutorial Prof Mike Shou NUS 2023 Dec 15
Video Recommendation Using Social Network Analysis and User Viewing Patterns
Virtual Assistancein Any Context
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Voxtral
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We're Afraid Language Models Aren't Modeling Ambiguity
Weakly Supervised Text Classification on Free Text Comments in Patient Reported Outcome Measures
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Web Browsing LLMs Can Access Social Media Profiles And Infer User Demographics
Weight Sparse Transformers Have Interpretable Circuits
We Wontbe Missed Work And Growth In The Era Of AGI
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Whatarethe Goalsof Distributional Semantics?
Whatarethemostinfluentialcurrent AI Papers?
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What Coulda Social Mediator Robot Do
What Does It Mean To Understand Language?
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What Exactlyisan Insight
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What Makes A Good Natural Language Prompt?
What Makes In-Context Learning Work
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What The F*ck Is Artificial General Intelligence?
When Do Discourse Markers Affect Computational Sentence Understanding?
When to Read Documents or QA History- On Unified and Selective Open-domain QA
When A Is Judge A Is The Rise Of Agent As A Judge Evaluation For LLMs
When Are Two Lists Betterthan One? Benefitsand Harmsin Joint Decision-making
When Can Model Free Reinforcement Learning Be Enough For Thinking?
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When Scaling Meets Llm Finetuning The Effect Of Data,Model And Finetuning Method
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WHENTOACT,WHENTOWAIT Modeling Structural Trajectories For Intent Triggerability In Task Oriented Dialogue
Where To Show Demos In Your Prompt A Positional Bias Of In Context Learning
Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?
Which Linguist Invented The Lightbulb?Presupposition Verification For Question Answering
White Papers - AI
Who Is AI Replacing?The Impact Of Generative AI On Online Freelancing Platforms
Whos_Afraid_of_Left_Hyperstitions
Why Do People Rate? Theory and Evidence on Online Ratings
Why Yoga Teachers Are Learning to Dissect Cadavers - The New York Times
Why Domulti Agent Llm Systems Fail?
Why Do Some Language Models Fake Alignment While Others Don't?
Whymachinesdonotunderstand
Whytimingandoverlaparemission-criticalfor convers ational user interfaces,speech recogn ition anddialoguesystems
Wide&Deep Learning for Recommender Systems
Widely Interpretable Semantic Representation-Frameless Meaning Representationfor Broader Applicability
Will I Sound Like Me?Improving Persona Consistency In Dialogues Through Pragmatic Self Consciousness
Wizard LM-Empowering Large Language Modelsto Follow Complex Instructions
Word Meanings In Transformer Language Models
Word Modelsto World Models
Words That Stick-Predicting Decision Making and Synonym Engagement Using Cognitive Biases and Computational Linguistics
Working AI Word doc
Working Alliance Transformer For Psychotherapy Dialogue Classification
Working With AI Measuring The Occupational Implications Of Generative AI
Workplace Everyday Creativity Through A Highly Conversational UI To Large Language Models
Writer-Defined AI Personasfor On-Demand Feedback Generation
Writing user personas with Large Language Models
Writing Zero Bridge The Gap Between Non Verifiable Tasks And Verifiable Rewards
XA Iin Automated Fact-Checking?The Benefits Are Modest And There’s No One-Explanation-Fits-All
Yelp Reviewsand Food Types-A Comparative Analysis of Ratings,Sentiments,and Topics
You Don't Need Pre Built Graphs For RAG Retrieval Augmented Generation With Adaptive Reasoning Structures
Youonlylookatscreens- Multimodalchain-of-actionagents
You Only Prompt Once-Onthe Capabilitiesof Prompt Learningon Large Language Modelsto Tackle Toxic Content
Your Brain On ChatGPT Accumulation Of Cognitive Debt When Using An AI Assistant For Essay Writing Task
Youtalkwhatyouread-Understanding News Comment Behavior by Dispositionaland Situational Attribution
YouTube’s Recommendation Algorithmfor Misinformation Filter Bubbles
Zebra Logic On The Scaling Limits Of LLMs For Logical Reasoning
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
Zero-shot Query Reformulationfor Conversational Search
Zero Search Incentivize The Search Capability Of LLMs Without Searching
Zero Shot BERT Adapters A Zero Shot Pipeline For Unknown Intent Detection
Zero Shot Goal Directed Dialogue Via Rl On Imagined Conversations
Zero Shot Verification Guided Chain Of Thoughts

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