{"total":86,"rows":[{"id":"2304.03442","title":"Generative Agents: Interactive Simulacra of Human Behavior","created":"2023-04-07","cited_by_count":3568,"area":"wm"},{"id":"2207.05608","title":"Inner Monologue: Embodied Reasoning through Planning with Language Models","created":"2022-07-12","cited_by_count":1081,"area":"wm"},{"id":"2305.14992","title":"Reasoning with Language Model is Planning with World Model","created":"2023-05-24","cited_by_count":861,"area":"wm"},{"id":"2302.14045","title":"Language Is Not All You Need: Aligning Perception with Language Models","created":"2023-02-27","cited_by_count":543,"area":"wm"},{"id":"2407.08693","title":"Robotic Control via Embodied Chain-of-Thought Reasoning","created":"2024-07-11","cited_by_count":346,"area":"wm"},{"id":"2309.04658","title":"Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf","created":"2023-09-09","cited_by_count":241,"area":"wm"},{"id":"2303.12153","title":"Text2Motion: From Natural Language Instructions to Feasible Plans","created":"2023-03-21","cited_by_count":224,"area":"wm"},{"id":"2502.08691","title":"AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society","created":"2025-02-12","cited_by_count":186,"area":"wm"},{"id":"2411.06559","title":"Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents","created":"2024-11-10","cited_by_count":154,"area":"wm"},{"id":"2504.04348","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","created":"2025-04-06","cited_by_count":143,"area":"wm"},{"id":"2410.13232","title":"Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation","created":"2024-10-17","cited_by_count":126,"area":"wm"},{"id":"2502.20694","title":"WorldModelBench: Judging Video Generation Models As World Models","created":"2025-02-28","cited_by_count":124,"area":"wm"},{"id":"2306.12672","title":"From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought","created":"2023-06-22","cited_by_count":119,"area":"wm"},{"id":"2406.03689","title":"Evaluating the World Model Implicit in a Generative Model","created":"2024-06-06","cited_by_count":113,"area":"wm"},{"id":"2309.11382","title":"Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions","created":"2023-09-20","cited_by_count":110,"area":"wm"},{"id":"2508.14704","title":"MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers","created":"2025-08-20","cited_by_count":96,"area":"wm"},{"id":"2510.02387","title":"CWM: An Open-Weights LLM for Research on Code Generation with World Models","created":"2025-09-30","cited_by_count":93,"area":"wm"},{"id":"2404.05221","title":"LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models","created":"2024-04-08","cited_by_count":70,"area":"wm"},{"id":"2312.05230","title":"Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning","created":"2023-12-08","cited_by_count":60,"area":"wm"},{"id":"2508.18269","title":"FlowVLA: Visual Chain of Thought-based Motion Reasoning for Vision-Language-Action Models","created":"2025-08-25","cited_by_count":50,"area":"wm"},{"id":"2411.00114","title":"Project Sid: Many-agent simulations toward AI civilization","created":"2024-10-31","cited_by_count":49,"area":"wm"},{"id":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"area":"wm"},{"id":"2306.17840","title":"Statler: State-Maintaining Language Models for Embodied Reasoning","created":"2023-06-30","cited_by_count":40,"area":"wm"},{"id":"2405.15383","title":"Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search","created":"2024-05-24","cited_by_count":40,"area":"wm"},{"id":"2505.13934","title":"RLVR-World: Training World Models with Reinforcement Learning","created":"2025-05-20","cited_by_count":40,"area":"wm"},{"id":"2310.10996","title":"ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification","created":"2023-10-17","cited_by_count":38,"area":"wm"},{"id":"2402.06665","title":"The Essential Role of Causality in Foundation World Models for Embodied AI","created":"2024-02-06","cited_by_count":32,"area":"wm"},{"id":"2306.01872","title":"Probabilistic Adaptation of Text-to-Video Models","created":"2023-06-02","cited_by_count":29,"area":"wm"},{"id":"2402.10659","title":"Network Formation and Dynamics Among Multi-LLMs","created":"2024-02-16","cited_by_count":29,"area":"wm"},{"id":"2410.15461","title":"EVA: An Embodied World Model for Future Video Anticipation","created":"2024-10-20","cited_by_count":28,"area":"wm"},{"id":"2410.07484","title":"WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents","created":"2024-10-09","cited_by_count":26,"area":"wm"},{"id":"2505.10819","title":"PoE-World: Compositional World Modeling with Products of Programmatic Experts","created":"2025-05-16","cited_by_count":26,"area":"wm"},{"id":"2607.05352","title":"Multiplayer Interactive World Models with Representation Autoencoders","created":"2026-07-06","cited_by_count":19,"area":"wm"},{"id":"2507.10539","title":"Graph World Model","created":"2025-07-14","cited_by_count":16,"area":"wm"},{"id":"2512.10226","title":"Latent Chain-of-Thought World Modeling for End-to-End Driving","created":"2025-12-11","cited_by_count":15,"area":"wm"},{"id":"2503.20124","title":"Synthesizing world models for bilevel planning","created":"2025-03-26","cited_by_count":14,"area":"wm"},{"id":"2506.02918","title":"World Modelling Improves Language Model Agents","created":"2025-06-03","cited_by_count":14,"area":"wm"},{"id":"2608.25927","title":"Code World Model: Coding Agent as World Brain","created":"2026-08-26","cited_by_count":14,"area":"wm"},{"id":"2507.23773","title":"General Agentic Planning Through Simulative Reasoning with World Models","created":"2025-07-31","cited_by_count":13,"area":"wm"},{"id":"2602.01576","title":"Generative Visual Code Mobile World Models","created":"2026-02-02","cited_by_count":13,"area":"wm"},{"id":"2502.04728","title":"Generating Symbolic World Models via Test-time Scaling of Large Language Models","created":"2025-02-07","cited_by_count":12,"area":"wm"},{"id":"2606.05979","title":"World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis","created":"2026-06-04","cited_by_count":12,"area":"wm"},{"id":"2501.00296","title":"From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models","created":"2024-12-31","cited_by_count":11,"area":"wm"},{"id":"2604.09059","title":"Learning Vision-Language-Action World Models for Autonomous Driving","created":"2026-04-10","cited_by_count":11,"area":"wm"},{"id":"2410.19923","title":"Language Agents Meet Causality -- Bridging LLMs and Causal World Models","created":"2024-10-25","cited_by_count":9,"area":"wm"},{"id":"2506.01600","title":"WoMAP: World Models For Embodied Open-Vocabulary Object Localization","created":"2025-06-02","cited_by_count":9,"area":"wm"},{"id":"2508.18507","title":"Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies","created":"2025-08-25","cited_by_count":7,"area":"wm"},{"id":"2509.09737","title":"World Modeling with Probabilistic Structure Integration","created":"2025-09-10","cited_by_count":7,"area":"wm"},{"id":"2512.11226","title":"FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model","created":"2025-12-12","cited_by_count":7,"area":"wm"},{"id":"2512.00306","title":"VCWorld: A Biological World Model for Virtual Cell Simulation","created":"2025-11-29","cited_by_count":6,"area":"wm"},{"id":"2601.20539","title":"PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs","created":"2026-01-28","cited_by_count":6,"area":"wm"},{"id":"2602.23058","title":"GeoWorld: Geometric World Models","created":"2026-02-26","cited_by_count":6,"area":"wm"},{"id":"2307.12573","title":"Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models","created":"2023-07-24","cited_by_count":5,"area":"wm"},{"id":"2504.15785","title":"WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents","created":"2025-04-22","cited_by_count":5,"area":"wm"},{"id":"2512.03000","title":"DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling","created":"2025-12-02","cited_by_count":5,"area":"wm"},{"id":"2501.17310","title":"Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding","created":"2025-01-28","cited_by_count":4,"area":"wm"},{"id":"2502.00708","title":"PhiP-G: Physics-Guided Text-to-3D Compositional Scene Generation","created":"2025-02-02","cited_by_count":4,"area":"wm"},{"id":"2601.01321","title":"Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models","created":"2026-01-04","cited_by_count":4,"area":"wm"},{"id":"2405.17039","title":"BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation","created":"2024-05-27","cited_by_count":3,"area":"wm"},{"id":"2510.04978","title":"Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI","created":"2025-10-06","cited_by_count":3,"area":"wm"},{"id":"2606.27483","title":"Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning","created":"2026-06-25","cited_by_count":3,"area":"wm"},{"id":"2411.15998","title":"PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making","created":"2024-11-24","cited_by_count":2,"area":"wm"},{"id":"2606.03603","title":"World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning","created":"2026-06-02","cited_by_count":2,"area":"wm"},{"id":"2606.15160","title":"DLWM: Diverse Latent World Models for Efficient Multimodal Reasoning","created":"2026-06-13","cited_by_count":2,"area":"wm"},{"id":"2607.07601","title":"CARLA-GS: Decoupling Representation, Reasoning, and Physics Simulation for Autonomous Driving Corner-Case Synthesis","created":"2026-07-08","cited_by_count":2,"area":"wm"},{"id":"2608.07107","title":"MemWM: Memory-Augmented Text-Based World Model","created":"2026-08-07","cited_by_count":2,"area":"wm"},{"id":"2406.08862","title":"Cognitively Inspired Energy-Based World Models","created":"2024-06-13","cited_by_count":1,"area":"wm"},{"id":"2410.02742","title":"Grounding Large Language Models In Embodied Environment With Imperfect World Models","created":"2024-10-03","cited_by_count":1,"area":"wm"},{"id":"2507.19855","title":"Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning","created":"2025-07-26","cited_by_count":1,"area":"wm"},{"id":"2510.03727","title":"Bridging the Gap Between Multimodal Foundation Models and World Models","created":"2025-10-04","cited_by_count":1,"area":"wm"},{"id":"2510.23509","title":"Logic-Guided Socially-aware Robot Navigation World Model","created":"2025-10-27","cited_by_count":1,"area":"wm"},{"id":"2512.08188","title":"Embodied Tree of Thoughts: Deliberate Manipulation Planning with Embodied World Model","created":"2025-12-09","cited_by_count":1,"area":"wm"},{"id":"2601.17094","title":"The Mouth is Not the Brain: Bridging Energy-Based World Models and Language Generation","created":"2026-01-23","cited_by_count":1,"area":"wm"},{"id":"2605.28842","title":"Thoughts-as-Planning: Latent World Models for Chain-of-Thoughts Optimization via Reinforcement Planning","created":"2026-04-27","cited_by_count":1,"area":"wm"},{"id":"2607.27201","title":"Mental World Modeling","created":"2026-07-29","cited_by_count":1,"area":"wm"},{"id":"2308.09721","title":"A new solution and concrete implementation steps for Artificial General Intelligence","created":"2023-08-12","cited_by_count":0,"area":"wm"},{"id":"2402.15283","title":"When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination","created":"2024-02-23","cited_by_count":0,"area":"wm"},{"id":"2505.14396","title":"Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds","created":"2025-05-20","cited_by_count":0,"area":"wm"},{"id":"2510.07974","title":"Active Confusion Expression in Large Language Models: Leveraging World Models toward Better Social Reasoning","created":"2025-10-09","cited_by_count":0,"area":"wm"},{"id":"2510.18315","title":"Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task","created":"2025-10-21","cited_by_count":0,"area":"wm"},{"id":"2512.02419","title":"The brain-AI convergence: Predictive and generative world models for general-purpose computation","created":"2025-12-02","cited_by_count":0,"area":"wm"},{"id":"2608.02713","title":"Quo Vadis, World Modeling?","created":"2026-08-03","cited_by_count":0,"area":"wm"},{"id":"2608.06020","title":"From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models","created":"2026-08-06","cited_by_count":0,"area":"wm"},{"id":"2609.32322","title":"Not All Errors Matter: Decision-Relevant Prediction Error Predicts Planning Quality","created":"2026-09-26","cited_by_count":0,"area":"wm"},{"id":"2610.15368","title":"ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs","created":"2026-10-11","cited_by_count":0,"area":"wm"},{"id":"2610.19795","title":"StateCraft: Augmenting Video World Models with Abstract-State Reasoning","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}