{"total":46,"rows":[{"id":"2304.03442","title":"Generative Agents: Interactive Simulacra of Human Behavior","created":"2023-04-07","cited_by_count":3568,"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":"2602.15922","title":"World Action Models are Zero-shot Policies","created":"2026-02-17","cited_by_count":465,"area":"wm"},{"id":"2310.10639","title":"Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models","created":"2023-10-16","cited_by_count":269,"area":"wm"},{"id":"2305.14078","title":"Large Language Models as Commonsense Knowledge for Large-Scale Task Planning","created":"2023-05-23","cited_by_count":231,"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":"2305.14909","title":"Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning","created":"2023-05-24","cited_by_count":207,"area":"wm"},{"id":"2411.14499","title":"Understanding World or Predicting Future? A Comprehensive Survey of World Models","created":"2024-11-21","cited_by_count":166,"area":"wm"},{"id":"2310.01361","title":"GenSim: Generating Robotic Simulation Tasks via Large Language Models","created":"2023-10-02","cited_by_count":125,"area":"wm"},{"id":"2305.10626","title":"Language Models Meet World Models: Embodied Experiences Enhance Language Models","created":"2023-05-18","cited_by_count":124,"area":"wm"},{"id":"2301.12050","title":"Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling","created":"2023-01-28","cited_by_count":88,"area":"wm"},{"id":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"area":"wm"},{"id":"2410.03645","title":"GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs","created":"2024-10-04","cited_by_count":52,"area":"wm"},{"id":"2507.00917","title":"A Survey: Learning Embodied Intelligence from Physical Simulators and World Models","created":"2025-07-01","cited_by_count":51,"area":"wm"},{"id":"2404.10775","title":"COMBO: Compositional World Models for Embodied Multi-Agent Cooperation","created":"2024-04-16","cited_by_count":49,"area":"wm"},{"id":"2309.17382","title":"Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency","created":"2023-09-29","cited_by_count":46,"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":"2410.23156","title":"VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning","created":"2024-10-30","cited_by_count":39,"area":"wm"},{"id":"2303.01586","title":"Alexa Arena: A User-Centric Interactive Platform for Embodied AI","created":"2023-03-02","cited_by_count":18,"area":"wm"},{"id":"2411.00927","title":"ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents","created":"2024-11-01","cited_by_count":15,"area":"wm"},{"id":"2511.20937","title":"ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction","created":"2025-11-26","cited_by_count":15,"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":"2509.26255","title":"ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning","created":"2025-09-30","cited_by_count":9,"area":"wm"},{"id":"2602.11291","title":"H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model","created":"2026-02-11","cited_by_count":7,"area":"wm"},{"id":"2509.03956","title":"World Model Implanting for Test-time Adaptation of Embodied Agents","created":"2025-09-04","cited_by_count":5,"area":"wm"},{"id":"2603.16860","title":"DreamPlan: Efficient Reinforcement Fine-Tuning of Vision-Language Planners via Video World Models","created":"2026-03-17","cited_by_count":5,"area":"wm"},{"id":"2608.09516","title":"HarnessWAM: Bridging Prediction and Deliberation in World Action Models","created":"2026-08-10","cited_by_count":5,"area":"wm"},{"id":"2511.18845","title":"UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model","created":"2025-11-24","cited_by_count":3,"area":"wm"},{"id":"2404.18896","title":"Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models","created":"2024-04-29","cited_by_count":2,"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":"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":"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":"2602.15549","title":"VLM-DEWM: Dynamic External World Model for Verifiable and Resilient Vision-Language Planning in Manufacturing","created":"2026-02-17","cited_by_count":1,"area":"wm"},{"id":"2605.12289","title":"PriorZero: Bridging Language Priors and World Models for Decision Making","created":"2026-05-12","cited_by_count":1,"area":"wm"},{"id":"2605.19319","title":"SWEET: Sparse World Modeling with Image Editing for Embodied Task Execution","created":"2026-05-19","cited_by_count":1,"area":"wm"},{"id":"2606.31422","title":"Ask the World Before Acting: Environment Probing for Calibrated Agent World Models","created":"2026-06-30","cited_by_count":1,"area":"wm"},{"id":"2608.17209","title":"Teach and Grow: An Agent-Centered Architecture for General Robot Learning","created":"2026-08-17","cited_by_count":1,"area":"wm"},{"id":"2609.19315","title":"GAVEL: Graph World Models for Verified and Efficient Long-Horizon LLM Task Planning","created":"2026-09-16","cited_by_count":1,"area":"wm"},{"id":"2602.01644","title":"From Perception to Action: Spatial AI Agents and World Models","created":"2026-02-02","cited_by_count":0,"area":"wm"},{"id":"2605.15975","title":"Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning","created":"2026-05-15","cited_by_count":0,"area":"wm"},{"id":"2606.14574","title":"SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model","created":"2026-06-12","cited_by_count":0,"area":"wm"},{"id":"2607.00457","title":"Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments","created":"2026-07-01","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":"2608.26788","title":"Decoupling Planning and Control for Instructable Agents","created":"2026-08-27","cited_by_count":0,"area":"wm"},{"id":"2609.37721","title":"CogWAM: Aligning Semantic Cognition with World Action Modeling via Event-Driven Interfaces","created":"2026-09-29","cited_by_count":0,"area":"wm"},{"id":"2609.37810","title":"Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents","created":"2026-09-29","cited_by_count":0,"area":"wm"}],"next_cursor":null}