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28 papers in the last four weeks, up 22% on the four weeks before. 0.3% of all new papers.

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Latest papers 192

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EV-WM: Event-Verified World Models for Long-Horizon Robotic Manipulation
Jun 11, 2026Kailin Wang, Haoxiang Jie, Yaoyuan Yan +2World Model Planning Omninwm
1AI Lab, Country Garden Services Group · 2Fudan University · 3Omni AI
Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal Consistency
Jun 9, 2026Seth Dobrin, Łukasz ChmielIdentifiability Latent Dynamics
1ARYA Labs, PBC
HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation
Jun 9, 2026Xiaoquan Sun, Ruijian Zhang, Chen Cao +12Efficient World-Action Model Robotic Manipulation
3Huazhong University of Science and Technology · 1The University of Hong Kong · 2INFIFORCE +3
ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience
Jun 9, 2026Jia LuoSupply Chain Optimization World Models
School of Foreign Languages, Huazhong University of Science and Technology, Wuhan 430074, China.
Business World Model
Jun 8, 2026Cecil Pang, Hiroki SayamaEfficient World-Action Model World Models
AI Engineering, USA TODAY Co., Inc., New York, USA · School of Systems Science and Industrial Engineering, Binghamton University, State University of New York, Binghamton, USA · Binghamton Center of Complex Systems, Binghamton University, State University of New York, Binghamton, USA +1
Latent Spatial Memory for Video World Models
Jun 8, 2026Weijie Wang, Haoyu Zhao, Yifan Yang +7Video World Models Video Latents
Zhejiang University · Microsoft Research · Adelaide University +1
Prisma-World: Camera-Controllable Multi-Agent Video World Model
Jun 8, 2026Huiqiang Sun, Zhan Peng, Size Wu +9Video World Models World Models
School of AIA, HUST · S-Lab, NTU · SenseTime Research +4
Counterfactual Transport Flows for Offline Conservative Trajectory Refinement
Jun 8, 2026Lena Krieger, Xuan Zhao, Zhuo Cao +3Model-Based Reinforcement Learning Long Refinement Trajectories
1IAS-8, Forschungszentrum J ulich, Germany · 2LMU Munich, Munich Center for Machine Learning (MCML), Germany · Department of Computer Science, Aarhus University, Denmark.
Light-WAM: Efficient World Action Models with State-Fusion Action Decoding
Jun 6, 2026Ziang Li, Dongzhou Cheng, Yibin Wang +5Efficient World-Action Model Action Prediction
Wuhan University · Shanghai Innovation Institute · Southeast University +2
ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors?
Jun 6, 2026Bin Zhu, Yanhao Jia, Kexin Zhao +12Multimodal Reasoning Multimodal Large Language Models
Peking University, Shenzhen Graduate School · 2Peng Cheng Laboratory · Rabbitpre Intelligence +3
Dreaming when Necessary: Advancing World Action Models with Adaptive Multi-Modal Reasoning
Jun 5, 2026Yinzhou Tang, Jingbo Xu, Yu Shang +4Efficient World-Action Model Embodied Artificial Intelligence
Tsinghua University · Manifold AI
What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
Jun 5, 2026Jewon Yeom, Hanseul Kim, Jeongjae Park +3Future Video Prediction World
Graduate School of Data Science, Seoul National University
Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation
Jun 3, 2026Luca Zanatta, Grzegorz Malczyk, Kostas AlexisWorld Models Scalable Robot Learning
Norwegian University of Science and Technology
EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms
Jun 2, 2026Guilin Zhang, Chuanyi Sun, Kai Zhao +3Reinforcement Learning From Human Feedback Schedulers
Workday AI Research · The George Washington University, Washington, DC, USA.
See Better, Foresee Better, Act Wiser: Physically Grounded Proactive Modeling and Decision Making
Jun 2, 2026Honghui Zhang, Anna Min, Chenmeinian Guo +9Multimodal Agents Interaction Data
Sichuan University · New York University · University of Alberta +6
AirDreamer: Generalist Drone Navigation with World Models
Jun 2, 2026Zian Liu, Andong Yang, Chunkai Yang +3Autonomous Drones Dynamic Environments
Institute for AI Industry Research, Tsinghua University, Beijing, China. · Department of Electronic Engineering, Tsinghua University, Beijing, China. · School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Geometry-Aware Implicit Memory for Video World Models
Jun 1, 2026Zhengxuan Wei, Xu Guo, Xinghui Li +8Video World Models Geometry-Aware
School of Intelligence Science and Technology, Nanjing University · 2Kling Team, Kuaishou Technology · 3Tsinghua University
Worlds Within Words: Translating Culture in Ancient Chinese Texts with Multi-Agent Coordination
May 31, 2026Xiaoqi He, Kaixin Lan, Mu You +3Neural Machine Translation Historical Manuscripts
NLP2CT Lab, Department of Computer and Information Science, University of Macau · Institute of International Language Services Studies, Macau Millennium College
LLMs in the Real World: Evaluating "AI" in Emergency Contexts
May 29, 2026Sara Court, Lara Downing, Micha ElsnerEmergency Assistance Large Language Models Fail
The Ohio State University · Community Refugee & Immigration Services (CRIS)
Learning to Bid in FCR Markets: A Best-of-Both-Worlds Approach
May 29, 2026Marius Potfer, Cheng Wan, Pierre GruetFirst-Price Auctions Non-Stationarity
ENSAE, CREST (Fairplay joint team), 5 Av. Le Chatelier, 91120, Palaiseau, France · EDF Lab Paris-Saclay, FiME (Laboratoire de Finance des Marchés de l’Énergie), 7 Bd Gaspard Monge, 91120, Palaiseau, France
Learning to Perceive the World Through Control: Empowerment-Based Representation Learning
May 28, 2026Mahsa Bastankhah, Sophie Broderick, Benjamin EysenbachRepresentation Learning World
Princeton University, USA
A Predictive Law for On-Policy Self-Distillation From World Feedback
May 28, 2026Tommy He, Jerome Sieber, Matteo SaponatiUnsupervised On-Policy Self-Distillation Reinforcement Learning Post-Training
Tufa Labs, Zürich, Switzerland
World Models for Robotic Manipulation: A Survey
May 27, 2026Fangyuan Wang, Ziyuan Wang, Guorui Pei +15World Models Robotic Manipulation
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 BalestrieroLatent World Models Low-Latency Latent Planning
Cold Spring Harbor Laboratory · New York University · Brown University
X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling
May 24, 2026Baolu Li, Jingyu Qian, Rui Guo +17Diffusion-Based Vision-Language-Actions Foresight
Victor · PWM Team, XPeng Inc.
ECHO: Terminal Agents Learn World Models for Free
May 23, 2026Vaishnavi Shrivastava, Piero Kauffmann, Ahmed Awadallah +1Cross-Entropy Losses World Models
Microsoft Research
HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
May 19, 2026Emmy Liu, Varun Gangal, Michael Yu +4Visual Hallucinations World
Carnegie Mellon University · All authors are affiliated with DegenAI Labs. · Patronus AI +3
CosFly: Plan in the Matrix, Fly in the World
May 18, 2026Hanxuan Chen, Xiangyue Wang, Songsheng Cheng +8Aerial Dataset World
Autel Robotics · Nanjing University · Peking University +2
WorldString: Actionable World Representation
May 18, 2026Kunqi Xu, Jitao Li, Jianglong Ye +4World Models World
Tsinghua University - IEI Lab · CalTech · UC San Diego +1
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving
May 18, 2026Lijun Zhou, Hongcheng Luo, Zhenxin Zhu +34Autoregressive Video Generation Autonomous Driving
Xiaomi Auto World Model Team
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems
May 15, 2026Lingyi Wang, Tingyu Shui, Walid Saad +1Semantic Communications Digital Twins
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Alexandria, VA, 22305, USA · Research and Innovation Labs, InterDigital Communications Inc., New York, NY 10120, USA
SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation
May 15, 2026Ssharvien Kumar Sivakumar, Akwele Johnson, Anirudh Dhingra +3Video World Models Surgery
Technical University Darmstadt, Darmstadt, Germany · Carl Zeiss AG, Munich, Germany · AICM, Medical Faculty of Heidelberg University, Heidelberg University, Germany
Imperfect World Models are Exploitable
May 15, 2026Logan Mondal Bhamidipaty, Esmeralda S. Whitammer, David Abel +2Exploitation World Models
University of Edinburgh · Stanford University
WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes
May 15, 2026Jichen Hu, Jiawei Guo, Jiazhong Cen +33D World Scene Understanding
1Shanghai Jiao Tong University · 2Huawei Inc.
DiLA: Disentangled Latent Action World Models
May 15, 2026Tianqiu Zhang, Muyang Lyu, Yufan Zhang +2Latent Action Models Latent World Models
Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, IDG/McGovern Institute for Brain Research, Peking University. · Center of Quantitative Biology, Peking University. · School of Psychological and Cognitive Sciences, Key Laboratory of Machine Perception (Ministry of Education), Peking University.
Identifiable Token Correspondence for World Models
May 15, 2026Youngin Kim, Ray Sun, Inho Kim +2World Models World
Interdisciplinary Program in Artificial Intelligence, Seoul National University · Department of Computer Science and Engineering, Seoul National University · KRAFTON
Latent Video Prediction for World Modeling: An Evaluation Uncovering Intriguing Favorable Evidence
May 15, 2026Ali J Alrasheed, Aryan Yazdan Parast, Basim Azam +2Future Video Prediction Video Foundation Models
The University of Melbourne · Monash University
FutureSim: Replaying World Events to Evaluate Adaptive Agents
May 14, 2026Shashwat Goel, Nikhil Chandak, Arvindh Arun +5Simulation-Based Reinforcement Learning Replay
1ELLIS Institute Tübingen · 2Max Planck Institute for Intelligent Systems · 4Tübingen AI Center +3
SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer
May 14, 2026Haoyi Zhu, Haozhe Liu, Yuyang Zhao +6Video World Models World Models
NVIDIA
ReactiveGWM: Steering NPC in Reactive Game World Models
May 14, 2026Zeqing Wang, Danze Chen, Zhaohu Xing +4Reactive World Models
Tencent · National University of Singapore · The Hong Kong University of Science and Technology (Guangzhou) +3
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
May 14, 2026Ziyin Zhang, Zihan Liao, Hang Yu +2Multilingual Language Models Text Embeddings
School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Ant Group, Hangzhou, China.
EponaV2: Driving World Model with Comprehensive Future Reasoning
May 14, 2026Jiawei Xu, Zhizhou Zhong, Zhijian Shu +8Autonomous Driving World Model Planning
1PCA Lab, VCIP, College of Computer Science, Nankai University · 2Horizon Robotics · 3HKUST +4
Reinforcing VLAs in Task-Agnostic World Models
May 12, 2026Yucen Wang, Rui Yu, Fengming Zhang +5Diffusion-Based Vision-Language-Actions World Models
Nanjing University · Interns at Microsoft · University of Illinois at Urbana-Champaign +4
PriorZero: Bridging Language Priors and World Models for Decision Making
May 12, 2026Junyu Xiong, Yuan Pu, Jia Tang +1Large Language Model Reinforcement Learning World Model Planning
University of Science and Technology of China · Shanghai Artificial Intelligence Laboratory · Nanjing University of Aeronautics and Astronautics +1
Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation
May 12, 2026Qiuyu Ding, Heng-Da Xu, Wei Zhang +4Location Large Language Model Personalization
Amap, Alibaba Group · Xi’an Jiaotong University
CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving
May 11, 2026Minqing Huang, Yujiao Xiang, Zihan Liang +7Autonomous Driving Action Generation
Afari Intelligent Drive · University of Electronic Science and Technology of China · Shanghai Jiao Tong University +2
WorldSpeech: A Multilingual Speech Corpus from Around the World
May 9, 2026Antonis Asonitis, Luca A. Lanzendörfer, Frédéric Berdoz +1Multilingual Automatic Speech Recognition Automatic Speech Recognition
ETH Zurich
Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents
May 9, 2026Ying Chen, Lihuang Fang, Rui Jiang +4Agentic Evaluations Embodied Agents
XPENG ROBOTICS
One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy
May 8, 2026Zuojin Tang, Shengchao Yuan, Xiaoxin Bai +4Diffusion-Based Vision-Language-Actions World Models
Zhejiang University · Central South University · Harbin Institute of Technology +2
OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation
May 7, 2026Yushan Liu, Peibo Sun, Shoujie Li +7Efficient World-Action Model Faster-Wam
Tsinghua University · Shanghai Jiao Tong University · Nanyang Technological University
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
May 7, 2026Nilaksh, Saurav Jha, Artem Zholus +1Latent World Models World Models
Chandar Research Lab · Mila – Quebec AI Institute · Polytechnique Montréal +1
Learning to Theorize the World from Observation
May 5, 2026Doojin Baek, Gyubin Lee, Junyeob Baek +2Theory-Of-Mind Reasoning Theory
KAIST
STARRY: Spatial-Temporal Action-Centric World Modeling for Robotic Manipulation
Apr 29, 2026Yuxuan Tian, Yurun Jin, Bin Yu +5Robotic Manipulation World Models
Beijing Institute of Technology · Zhongguancun Academy · Zhongguancun Institute of Artificial Intelligence +4
Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising
Apr 29, 2026Jun Guo, Qiwei Li, Peiyan Li +7Faster-Wam World Models
Tsinghua University · Xiaomi Robotics · Peking University +1
World-R1: Reinforcing 3D Constraints for Text-to-Video Generation
Apr 27, 2026Weijie Wang, Xiaoxuan He, Youping Gu +9Generative Video Models Video Foundation Models
Zhejiang University · Microsoft Research · Independent Researcher
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Apr 24, 2026Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin +47World Models Multi-Agent Simulations
WorldMark: A Unified Benchmark Suite for Interactive Video World Models
Apr 23, 2026Xiaojie Xu, Zhengyuan Lin, Kang He +5Video World Models World Models
Alaya Studio, Shanda AI Research Tokyo · The University of Tokyo · Shanghai Innovation Institute
The "Small World of Words" German Free-Association Norms
Apr 21, 2026Samuel Aeschbach, Rui Mata, Kaidi Lõo +2German Linguistics
Center for Cognitive and Decision Sciences, Faculty of Psychology, University of Basel, Switzerland · Institute of Estonian and General Linguistics, University of Tartu, Estonia · Melbourne School of Psychological Sciences, University of Melbourne, Australia +1
MultiWorld: Scalable Multi-Agent Multi-View Video World Models
Apr 20, 2026Haoyu Wu, Jiwen Yu, Yingtian Zou +1Video World Models Video Agent
The University of Hong Kong · Sreal AI
Best of both worlds: Stochastic & adversarial best-arm identification
Apr 16, 2026Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon +2Stochastic Multi-Armed Bandits Bounded Adversary
Adobe Research, USA · University of California, Berkeley, USA · Queensland University of Technology - ACEMS, Australia +2

Jun 11, 2026, cs.ROJ/K move · Enter open · S save

EV-WM: Event-Verified World Models for Long-Horizon Robotic Manipulation

Kailin Wang, Haoxiang Jie, Yaoyuan Yan, Jiacheng Zhou+1

1AI Lab, Country Garden Services Group · 2Fudan University · 3Omni AI

World Model Planning Omninwm World Models Robot State Long-Horizon Manipulation Robotic Manipulation+1

Open paper AskPDF arXiv

Pretrained-feature world models provide a useful substrate for robot imagination, but visual or latent prediction alone does not determine whether an imagined future satisfies task-relevant predicates. Long-horizon manipulation requires progress signals that are relational, predicate-level, and physically grounded: whether an object has moved, whether a drawer or contact state has changed, whether a placement predicate is satisfied, and whether a candidate future is reliable enough for execution. We introduce \textbf{EV-WM}, a predicate-grounded verification framework for world-model planning. EV-WM rolls out candidate futures in pretrained visual-feature space, decodes them into structured event states, and scores them using task-progress, semantic-consistency, physical-feasibility, and uncertainty terms. The verifier guides sampling-based planning, gates candidate actions, and, in the contact-sensitive LIBERO wine-rack setting, selects among PPO-generated proposals. Across navigation, deformable-object, wall-constrained, and language-described manipulation studies, EV-WM shows that predicate-grounded verification can make feature-space world-model planning more interpretable and better aligned with task progress.

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