All AI PDFs
- "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
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- 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
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- 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
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- 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
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- Learningto Rankin Generative Retrieval
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- 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
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- Least To Most Prompting Enables Complex Reasoninginlargelanguagemodels
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- Live MCP 101 Stress Testing And Diagnosing MCP Enabled Agents On Challenging Queries
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- LLM+P Empowering Large Language Models With Optimal Planning Proficiency
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- LOST- A Mental Health Dataset of Low Self-esteem in Reddit Posts
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- Machine Psychology
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- Magentic UI Towards Human In The Loop Agentic Systems
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- Make A Video-Text To Video Generation Withouttext Videodata
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- Mapof Technology-mediated Harms,Risksand Vulnerabilities
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- Mapping Promptsfor LLMsto UI Affordances
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- 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
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- 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
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- Measuring Agents In Production
- Measuring Alliance And Symptom Severity In Psychotherapy Transcripts Using Bert Topic Modeling
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- 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
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- Mint-evaluatingllmsinmulti-turninteractionwithtoolsandlanguagefeedback
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- 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
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- 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
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- Myth QA-Query-Based Large-Scale Check-Worthy Claim Detection Question Answering
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- 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
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- Needed Systems Thinking In Public Affairs
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- 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
- Promptingor Fine-tuning?A Comparative Studyof Large Language Modelsfor Taxonomy Construction
- 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
- Quantifying the Echo Chamber Effect- An Embedding Distance-based Approach
- 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
- Reasoning Circuits In Language Models A Mechanistic Interpretation Of Syllogistic Inference
- Reasoning Language Models A Blueprint
- Reasoning LLMs Are Wandering Solution Explorers
- Reasoning Models Are More Easily Gaslighted Than You Think
- Reasoning Models Can Be Effective Without Thinking
- Reasoning Models Don't Always Say What They Think
- Reasoning Or Memorization?Unreliable Results Of Reinforcement Learning Due To Data Contamination
- Reasoningor Reciting-Exploringthe Capabilitiesand Limitationsof LLMs
- Reasoningor Reciting?Exploringthe Capabilitiesand Limitationsof Language Models Through Counterfactual Tasks
- Reasoning Strategies In Large Language Models Can They Follow,Prefer,And Optimize?
- Reasoning To Learn From Latent Thoughts
- Reasoning With Large Language Models,A Survey
- Reason VQAA Multi Hop Reasoning Benchmark With Structural Knowledge For Visual Question Answering
- Reawakening Knowledge Anticipatory Recovery From Catastrophic Interference Via Structured Training
- Rebalancing Social Feed to Minimize Polarizationand Disagreement
- Recent Developments in Recommender Systems- A Survey
- Recent Trends In Personalized Dialogue Generation A Review Of Datasets,Methodologies, And Evaluations
- 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
- Refashioning Emotion Recognition Modelling-The Adventof Generalised Large Models
- Reflect Then Learn Active Prompting For Information Extraction Guided By Introspective Confusion
- Reflexion- an autonomous agent with dynamic memory and self-reflection
- Reflexion Language Agents With Verbal Reinforcement Learning
- Re FT Representation Finetuning For Language Models
- Reinforced Language Models For Sequential Decision Making
- Reinforced Self-Training(Re ST)for Language Modeling
- Reinforcement Learning in the Era of LLMs-Whatis Essential?Whatisneeded?
- Reinforcement Learning An Overview
- 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
- Related Pinsat Pinterest-The Evolutionofa Real-World Recommender System
- Reliable and Interpretable Drift Detection in Streams of Short Texts
- Repeat After Me Transformers Are Better Than State Space Models At Copying
- Replacing Judges With Juries Evaluating LLM Generations With A Panel Of Diverse Models
- 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
- Rethinking Conversational Agents In The Era Of Large Language Models Proactivity,Non Collaborativity,And Beyond
- Rethinking External Slow Thinking From Snowball Errors To Probability Of Correct Reasoning
- Rethinking Language Modelsas Symbolic Knowledge Graphs
- Rethinking Large Language Models In Mental Health Applications
- Rethinking Machine Ethics Can LLMs Perform Moral Reasoningthroughthe Lensof Moral Theories?
- Rethinking Neuralvs Matrix-Factorization Collaborative Filtering-the Theoretical Perspectives
- Rethinking STS And NLI In Large Language Models
- Rethinking Thinking Tokens LLMs As Improvement Operators
- Rethinking With Retrieval Faithful Large Language Model Inference
- Retrieval Augmented Reasoning With Lean Language Models
- Retrieval Head Mechanistically Explains Long Context Factuality
- Rev Core Review Augmented Conversational Recommendation
- Revealing the structure of language model capabilities
- Reversal Of Thought Enhancing Large Language Models With Preference Guided Reverse Reasoning Warm Up
- Reverse Thinking Makes LLMs Stronger Reasoners
- Review LLM Harnessing Large Language Models For Personalized Review Generation
- Revisiting Conversation Discourse for Dialogue Disentanglement
- Revisiting Disentanglementand Fusionon Modalityand Context in Conversational Multimodal Emotion Recognition
- Revisiting LLM Reasoning Via Information Bottleneck
- Revisiting Prompt Engineering A Comprehensive Evaluation For LLM Based Personalized Recommendation
- Revisiting RAG Ensemble A Theoretical And Mechanistic Analysis Of Multi RAG System Collaboration
- Revisiting The Test Time Scaling Of o1 Like Models Do They Truly Possess Test Time Scaling Capabilities?
- Revolutionizing Mental Health Support An Innovative Affective Mobile Framework For Dynamic,Proactive,And Context Adaptive Conversational Agents
- Reward Bench Evaluating Reward Models For Language Modeling
- Reward Free Curricula For Training Robust World Models
- Reward Reasoning Model
- Reward Robust RLHF In LLMs
- Rewards In Context Multi Objective Alignment Of Foundation Models With Dynamic Preference Adjustment
- Re WOO Decoupling Reasoning from Observations for Efficient Augmented LLMs
- Rewriting the Script- Adapting Text Instructions for Voice Interaction
- Rhetoric,Logic,And Dialectic Advancing Theory Based Argument Quality Assessment In Natural Language Processing
- Rich RAG Crafting Rich Responses For Multi Faceted Queries In Retrieval Augmented Generation
- Righttobe Forgotteninthe Eraof Large Language Models
- Ripple Knowledge Graph Convolutional Networks
- Rise Of Machine Agency A Framework For Studying The Psychology Of Human–AI Interaction(HAII)
- RL+Transformer=A General Purpose Problem Solver
- RLAD Training LLMs To Discover Abstractions For Solving Reasoning Problems
- RLAIF Vs.RLHF Scaling Reinforcement Learning From Human Feedback With AI Feedback
- RLHF Workflow From Reward Modeling To Online RLHF
- RLNVR Reinforcement Learning From Non Verified Real World Rewards
- RLPLUS Countering Capability Boundary Collapse Of LLMs In Reinforcement Learning With Hybrid Policy Optimization
- 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
- Robot Transparency Improving Understanding Of Intelligent Behaviour For Designers And Users
- Robust Reinforcement Learning Objectives for Sequential Recommender Systems
- Robust Hate Speech Detectionin Social Media
- Rocar-arelationshipnetwork-basedevaluation Methodtolargelanguagemodels
- Role-Playwith Large Language Models
- Role LLM Benchmarking,Eliciting And Enhancing Role Playing Abilities Of Large Language Models
- 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
- s 42254-023-00584-1
- SAILER Structure Aware Pre Trained Language Model For Legal Case Retrieval
- Same Task,More Tokens The Impact Of Input Length On The Reasoning Performance Of Large Language Models
- Sample More To Think Less Group Filtered Policy Optimization For Concise Reasoning
- Sampling-Bias-Corrected Neural Modelingfor Large Corpus Item Recommendations
- SAND Boosting LLM Agents With Self Taught Action Deliberation
- Sarcasm Detectionina Disaster Context
- Satori Reinforcement Learning With Chain Of Action Thought Enhances LLM Reasoning Via Autoregressive Search
- Scalable Language Models With Posterior Inference Of Latent Thought Vectors
- Scalable Neural Contextual Banditfor Recommender Systems
- Scaled-up Discoveryof Latent Conceptsin Deep NLP Models
- Scaling Transformer to 1M tokens and beyond with RMT
- Scaling Vision Transformers to 22 Billion
- Scaling Can Lead To Compositional Generalization
- Scaling Expert Language Models With Unsupervised Domain Discovery
- Scaling In-Context Demonstrationswith Structured Attention
- Scaling Laws For Neural Language Models
- Scaling Laws Meet Model Architecture Toward Inference Efficient LLMs
- Scaling LLM Test Time Compute Optimally Can Be More Effective Than Scaling Model Parameters
- Scaling Monosemanticity Extracting Interpretable Features From Claude 3 Sonnet
- 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
- Scaling Up Test Time Compute With Latent Reasoning A Recurrent Depth Approach
- Schema-learningandrebindingasmechanisms ofin-contextlearning
- 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
- Selective Reflection Tuning Student Selected Data Recycling For LLM Instruction Tuning
- Self Selection and Information Role of Online Product Reviews
- Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems
- Self-Alignmentwith Instruction Backtranslation
- Self-Attentive Sequential Recommendation
- Self-consistency Improves Chainof Thought Reasoningin Languagemodels
- SELF-DISCOVER-Large Language Models Self-Compose Reasoning Structures
- 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
- Self Improving Model Steering
- Self Improving Transformers Overcome Easy To Hard And Length Generalization Challenges
- 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
- SELFREFINE Iterative Refinement With Self Feedback
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- Shaping Explanations Semantic Reward Modeling With Encoder Only Transformers For GRPO
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- Shepherd-A Criticfor Language Model Generation
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- Simpleis Betterand Largeis Not Enough- Towards Ensemblingof Foundational Language Models
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- 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
- SITUATIONALAWARENESS The Decade Ahead-Leopold Aschenbrenner
- Skill-it!A Data-Driven Skills Frameworkfor Understandingand Training Language Models
- SKILLS-IN-CONTEXTPROMPTING-UNLOCKING Compos itional ity inlarge l anguage models
- 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
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- When Reject Turns Into Accept Quantifying The Vulnerability Of LLM Based Scientific Reviewers To Indirect Prompt Injection
- When Scaling Meets Llm Finetuning The Effect Of Data,Model And Finetuning Method
- When Thinking Fails The Pitfalls Of Reasoning For Instruction Following In LLMs
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- 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
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- 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
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- 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