World Model Learning

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50 papers in the last four weeks, up 257% on the four weeks before. 0.5% of all new papers.

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C $^3$ ache: Accelerating World Action Models with Cross Inference Chunk Cache
Jun 8, 2026Weisen Zhao, Lam Nguyen, Zhicong Lu +1World Model Learning Action-Conditioned World Models
George Mason University · University of Central Florida
Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators
Jun 4, 2026Chenming Zhu, Jingli Lin, Yilin Long +4Visual Spatial Reasoning World Model Learning
1The University of Hong Kong · 2Shanghai AI Laboratory · 3Shanghai Jiao Tong University +2
Towards World Models in Biomedical Research
Jun 4, 2026Guangyu Wang, Jingkun Yue, Siqi Zhang +19AI for Science World Model Learning
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China · Department of Engineering Science, University of Oxford, Oxford, United Kingdom · Institute of Medical Artificial Intelligence, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China +8
Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning
Jun 4, 2026Ziyang Yao, Haochen Liu, Yuncheng Jiang +10Hierarchical Planning World Model Learning
Xiaomi EV
Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents
Jun 4, 2026Kaixuan Liu, Guojun Xiong, Weinan Zhang +1World Model Learning Off-Policy Evaluation
Department of Computer Science Emory University Atlanta, GA, USA · School of Computer Science Shanghai Jiao Tong University Shanghai, China
A 3D Isovist World Model -- Revealing a City's Unseen Geometry and Its Emergent Cross-City Signature
Jun 2, 2026Xuhui Lin, Stephen Law, Nanjiang Chen +2Representation Learning World Model Learning
Department of Geography University College London, UK · School of Project Management, Faculty of Engineering The University of Sydney, AU · School of Engineering Cardiff University, UK +1
Geometry-Aware Implicit Memory for Video World Models
Jun 1, 2026Zhengxuan Wei, Xu Guo, Xinghui Li +8World Model Learning Memory-Augmented Video Generation
School of Intelligence Science and Technology, Nanjing University · 2Kling Team, Kuaishou Technology · 3Tsinghua University
Policy and World Modeling Co-Training for Language Agents
Jun 1, 2026Ning Lu, Baijiong Lin, Shengcai Liu +9Agentic RL World Model Learning
Southern University of Science and Technology · Hong Kong University of Science and Technology · Hong Kong University of Science and Technology (Guangzhou) +2
WALL-WM: Carving World Action Modeling at the Event Joints
Jun 1, 2026Shalfun Li, Victor Yao, Charles Yang +28World Model Learning Vision-Language-Action Models
X Square Robot Team
Learning Action-Conditional and Object-Centric Gaussian Splatting World Models for Rigid Objects
Jun 1, 2026Jens U. Kreber, Lukas Mack, Joerg Stueckler3D Gaussian Splatting Dynamical Systems
Intelligent Perception in Technical Systems Group University of Augsburg Augsburg, Germany
Physical Object Understanding with a Physically Controllable World Model
May 30, 2026Rahul Venkatesh, Klemen Kotar, Lilian Naing Chen +9Physical Reasoning World Model Learning
Stanford University · OpenAI · Noetik Inc. +1
IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving
May 29, 2026Chenghao Zhang, Timin Li, Dongmei LiWorld Model Learning End-to-End Autonomous Driving
Department of Electronic Engineering, Tsinghua University
PatchWorld: Gradient-Free Optimization of Executable World Models
May 29, 2026Jiaxin Bai, Yue Guo, Yifei Dong +13Belief-Space Planning World Model Learning
1Hong Kong Baptist University · 2Independent Researcher · 3HKUST +4
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications
May 28, 2026Arif Hassan Zidan, Yi Pan, Hanqi Jiang +23World Model Learning World Model-Based Planning
School of Computer and Cyber Sciences, Augusta University, Augusta, GA, USA · School of Computing, University of Georgia, Athens, GA, USA · Tandon School of Engineering, New York University, Brooklyn, NY, USA +9
Toward AI That Understands Self and Others: A World-Model Theory of Cognitive Diversity and Alignment
May 28, 2026Toru TakahashiComputational Cognitive Modeling World Model Learning
Human Informatics and Systems Lab, Doshisha University · Linked Open Data Initiative, NPO · Keio Research Institute at SFC +1
LEIA: Learned Environment for Interactive Architected Materials
May 27, 2026Haiqian Yang, Yuan Cao, Markus J. BuehlerNeural Surrogate Modeling World Model Learning
Unreasonable Labs · Mountain View, CA 94043, USA
Hybrid Neural World Models
May 27, 2026Pranav Lakshmanan, Paras ChopraNeural Surrogate Modeling Surrogate Modeling
Lossfunk
Do LLMs Build World Models From Text? A Multilingual Diagnostic of Spatial Reasoning
May 27, 2026Zhikai Pan, Chih-Ting Liao, Chunrui Liu +5LLM World Models Multilingual Language Model Evaluation
University of New South Wales · Essential Energy · University of Alabama at Birmingham +3
Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
May 27, 2026Mufan Qiu, Genhui Zheng, Yinuo Xu +4World Model Learning Latent Dynamics Modeling
University of North Carolina at Chapel Hill · The University of Texas at Austin · University of Pennsylvania
World Models for Robotic Manipulation: A Survey
May 27, 2026Fangyuan Wang, Ziyuan Wang, Guorui Pei +15World Model Learning World Models for Robotics
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China · Department of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China · School of Advanced Engineering, Great Bay University, Dongguan, Guangdong, China +9
When Does LeJEPA Learn a World Model?
May 25, 2026David Klindt, Yann LeCun, Randall BalestrieroWorld Model Learning Representation Identifiability
Cold Spring Harbor Laboratory · New York University · Brown University
Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization
May 25, 2026Xiaoyuan Cheng, Wenxuan Yuan, Zhancun Mu +5World Model Learning Diffusion Policy
Dynamic Systems Lab, University College London · College of Computing and Data Science, Nanyang Technological University · School of Intelligence Science and Technology, Peking University +3
Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations
May 25, 2026Minghao Fu, Fan Feng, Nicklas Hansen +1World Model Learning World Models
University of California, San Diego
UWM-JEPA: Predictive World Models That Imagine in Belief Space
May 25, 2026Santosh Kumar Radha, Oktay GoktasWorld Model Learning Latent Dynamics Modeling
AgentField AI, Toronto, Canada
X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling
May 24, 2026Baolu Li, Jingyu Qian, Rui Guo +17World Model Learning Long-Horizon Video Generation
Victor · PWM Team, XPeng Inc.
World Models as Group Actions
May 23, 2026Zijie Wang, Wei Zhang, Weiming Zhang +4World Model Learning Action-Conditioned World Models
Sun Yat-sen University · Shenzhen Loop Area Institute · Baidu Inc. +2
ECHO: Terminal Agents Learn World Models for Free
May 23, 2026Vaishnavi Shrivastava, Piero Kauffmann, Ahmed Awadallah +1World Model Learning Computer-Use Agents
Microsoft Research
SliceWorld: A Predictive and Controllable World-State Model for CT Report Generation
May 23, 2026Yuanhe Tian, Yan SongRadiology Report Generation World Model Learning
Zhongguancun Academy · University of Science and Technology of China
SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation
May 23, 2026Ruoyu Wang, Jingke Wang, Yukai Ma +5World Model Learning End-to-End Autonomous Driving
Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China · Labs, Huawei
Learning a Particle Dynamics Model with Real-world Videos
May 22, 2026Chanho Kim, Suhas V. Sumukh, Li FuxinWorld Model Learning Physics-Based Simulation
Oregon State University

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C $^3$ ache: Accelerating World Action Models with Cross Inference Chunk Cache

Weisen Zhao, Lam Nguyen, Zhicong Lu, Yuzhang Shang

George Mason University · University of Central Florida

World Model Learning Action-Conditioned World Models Efficient Inference for World Action Models Inference Acceleration World Action Models

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World Action Models (WAMs) generalize better than standard Vision-Language-Action (VLA) policies to novel motions and environments, because a video-modeling objective lets them learn from abundant unlabeled video rather than scarce labeled robot demonstrations. This generalization is computationally expensive. To complete a task, a WAM runs over multiple inference chunks, and each chunk requires a costly denoising process. Existing acceleration methods reduce this cost by caching and reusing computation within a single chunk's denoising trajectory. Our empirical analysis reveals a substantial source of redundancy they overlook: redundancy across chunks. When a robot executes a smooth behavior, the residuals computed at a given denoising step are strongly correlated from one chunk to the next. We introduce C

^3

ache, a training-free method that caches and reuses these residuals across inference chunks at the same denoising step. Experiments on benchmarks with a Fast-WAM backbone show that C

^3

ache achieves up to a

2.5\times

speedup in total wall-clock inference time, with negligible degradation in task success rate.

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Latest papers 281