World Models

• AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
  A fundamental question in cognitive science concerns how social norms are acquired and represented. While humans typically learn norms through embodied social experience, we investigated whether large…
• Assessing adaptive world models in machines with novel games
  Human intelligence exhibits a remarkable capacity for rapid adaptation and effective problem-solving in novel and unfamiliar contexts. We argue that this profound adaptability is fundamentally linked …
• Can Language Models Serve as Text-Based World Simulators?
  Broadly speaking, there are two ways to leverage LLMs in the context of world modeling and simulation. The first is neurosymbolic: a number of efforts use language models to generate code in a symboli…
• Critiques of World Models
  World Model, the supposed algorithmic surrogate of the real-world environment which biological agents experience with and act upon, has been an emerging topic in recent years because of the rising nee…
• FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning
  This paper presents FinCoT, a structured chain-of- thought (CoT) prompting approach that incorporates insights from domain-specific expert financial reasoning to guide the reasoning traces of large la…
• Learning Human-Object Interaction as Groups
  Human-Object Interaction Detection (HOI-DET) aims to localize human-object pairs and identify their interactive relationships. To aggregate contextual cues, existing methods typically propagate inform…
• Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction
  The evolution of Large Language Models (LLMs) from passive responders to autonomous agents necessitates a fundamental shift in learning paradigms—from static imitation to incentive-driven decision mak…
• Scaling can lead to compositional generalization
  Can neural networks systematically capture discrete, compositional task structure despite their continuous, distributed nature? The impressive capabilities of large scale neural networks suggest that …
• Simulating Society Requires Simulating Thought
  Simulating society with large language models (LLMs), we argue, requires more than generating plausible behavior; it demands cognitively grounded reasoning that is structured, revisable, and traceable…
• TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
  To measure the progress of these LLM agents’ performance on performing real-world professional tasks, in this paper we introduce TheAgentCompany, an extensible benchmark for evaluating AI agents that …
• What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
  Foundation models are premised on the idea that sequence prediction can uncover deeper domain understanding, much like how Kepler’s predictions of planetary motion later led to the discovery of Newton…