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(2025) DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling Kairun Wen, Yuzhihuang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Jun Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan
(2025) World Models Should Prioritize the Unification of Physical and Social Dynamics Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang, Weidong Huang, Siyuan Qi, Song-Chun Zhu, Xue Feng, Yaodong Yang
(2025) We Should Chart an Atlas of All the World's Models Eliahu Horwitz, Nitzan Kurer, Jonathan Kahana, Liel Amar, Yedid Hoshen
(2025) DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Wenyao Zhang, Hongsi Liu, Zekun Qi, Yunnan Wang, XinQiang Yu, Jiazhao Zhang, Runpei Dong, Jiawei He, He Wang, Zhizheng Zhang, Li Yi, Wenjun Zeng, Xin Jin
(2025) Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matt Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang "Atlas" Wang, Yao Zhao, Marco Pavone, Yunchao Wei
(2025) Video World Models with Long-term Spatial Memory Tong Wu, Shuai Yang, Ryan Po, Yinghao Xu, Ziwei Liu, Dahua Lin, Gordon Wetzstein
(2025) StateSpaceDiffuser: Bringing Long Context to Diffusion World Models Nedko Savov, Naser Kazemi, Deheng Zhang, Danda Pani Paudel, Xi Wang, Luc V Gool
(2025) WorldModelBench: Judging Video Generation Models As World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E Gonzalez, Ion Stoica, Song Han, Yao Lu
(2025) Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Qiming Hu, Linlong Fan, Yiyan Luo, Yuhang Yu, Xiaojie Guo, Qingnan Fan
(2025) SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models Sen Wang, Jingyi Tian, Le Wang, Zhimin Liao, lijiayi, Huaiyi Dong, Kun Xia, Sanping Zhou, Wei Tang, Gang Hua
(2025) DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution Zheng Chen, Zichen Zou, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, Yulun Zhang
(2025) Learning 3D Persistent Embodied World Models Siyuan Zhou, Yilun Du, Yuncong Yang, Lei Han, Peihao Chen, Dit-Yan Yeung, Chuang Gan
(2025) MindJourney: Test-Time Scaling with World Models for Spatial Reasoning Yuncong Yang, Jiageng Liu, Zheyuan Zhang, Siyuan Zhou, Reuben Tan, Jianwei Yang, Yilun Du, Chuang Gan
(2025) RLVR-World: Training World Models with Reinforcement Learning Jialong Wu, Shaofeng Yin, Ningya Feng, Mingsheng Long
(2025) ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu, Zhibin Tang, Junjie Wen, Yaxin Peng, Chaomin Shen, Yi Xu
(2025) EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling Jia-Hua Lee, Bor-Jiun Lin, Wei-Fang Sun, Chun-Yi Lee
(2025) Learning and Planning Multi-Agent Tasks via an MoE-based World Model Zijie Zhao, Zhongyue Zhao, Kaixuan Xu, Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
(2025) Diffusion Transformers as Open-World Spatiotemporal Foundation Models Yuan Yuan, Chonghua Han, Jingtao Ding, Guozhen Zhang, Depeng Jin, Yong Li
(2025) WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
(2025) MIRA: Medical Time Series Foundation Model for Real-World Health Data Hao Li, Bowen Deng, Chang Xu, ZhiYuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian
(2025) COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Yining Shi, Kun Jiang, Qiang Meng, Ke Wang, JiaBao Wang, Wenchao Sun, Tuopu Wen, mengmeng yang, diange yang
(2025) PoE-World: Compositional World Modeling with Products of Programmatic Experts Top Piriyakulkij, Yichao Liang, Hao Tang, Adrian Weller, Marta Kryven, Kevin Ellis
(2025) Learning Interactive World Model for Object-Centric Reinforcement Learning Fan Feng, Phillip Lippe, Sara Magliacane
(2025) OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model Zhenhao Zhang, Ye Shi, Lingxiao Yang, Suting Ni, Qi Ye, Jingya Wang
(2025) seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models Hafez Ghaemi, Eilif B. Muller, Shahab Bakhtiari
(2025) From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction Zhida Zhao, Talas Fu, Yifan Wang, Lijun Wang, Huchuan Lu
(2025) Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity Guangze Zheng, Shijie Lin, Haobo Zuo, Si Si, Ming-Shan Wang, Changhong Fu, Jia Pan
(2025) World Models as Reference Trajectories for Rapid Motor Adaptation Carlos Stein Brito, Daniel McNamee
(2025) DMWM: Dual-Mind World Model with Long-Term Imagination Lingyi Wang, Rashed Shelim, Walid Saad, Naren Ramakrishnan
(2025) Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation Matteo Ceriscioli, Karthika Mohan
(2025) DyMoDreamer: World Modeling with Dynamic Modulation Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang
(2025) Vector Quantization in the Brain: Grid-like Codes in World Models Xiangyuan Peng, Xingsi Dong, Si Wu
(2025) SPARTAN: A Sparse Transformer World Model Attending to What Matters Anson Lei, Bernhard Schölkopf, Ingmar Posner
(2025) Bootstrap Off-policy with World Model Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi TOMIZUKA, Shengbo Eben Li
(2025) OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation Raktim Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami
(2025) VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents Kangrui Wang, Pingyue Zhang, Zihan Wang, Yaning Gao, Linjie Li, Qineng Wang, Hanyang Chen, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Fei-Fei Li, Yejin Choi, Manling Li
(2025) Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective Yang Zhang, Xinran Li, Jianing Ye, Shuang Qiu, Delin Qu, Xiu Li, Chongjie Zhang, Chenjia Bai
(2025) Leveraging Conditional Dependence for Efficient World Model Denoising Shaowei Zhang, Jiahan Cao, Dian Cheng, Xunlan Zhou, Shenghua Wan, Le Gan, De-Chuan Zhan
(2025) MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Fan LIU, Zherui Yang, Cancheng Liu, Tianrui Song, Xiaofeng Gao, Hao Liu
(2025) Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2) Zhenjie Yang, Xiaosong Jia, Qifeng Li, Xue Yang, Maoqing Yao, Junchi Yan
(2025) RoboScape: Physics-informed Embodied World Model Yu Shang, Xin Zhang, Yinzhou Tang, Lei Jin, Chen Gao, Wei Wu, Yong Li
(2025) Dyn-O: Building Structured World Models with Object-Centric Representations Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
(2025) Overcoming Challenges of Long-Horizon Prediction in Driving World Models Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso, Karim Farid, Thomas Brox
(2025) Social World Model-Augmented Mechanism Design Policy Learning Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma, Zhixun Chen, Long Ma, Yali Du, Song-Chun Zhu, Yaodong Yang, Xue Feng
(2025) Learning World Models for Interactive Video Generation Taiye Chen, Xun Hu, Zihan Ding, Chi Jin
(2025) Zero-shot World Models via Search in Memory Federico Malato, Ville Hautamäki
(2025) Towards foundational LiDAR world models with efficient latent flow matching Tianran Liu, Shengwen Zhao, Nicholas Rhinehart
(2025) Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization Frank Röder, Jan Benad, Manfred Eppe, Pradeep Banerjee
(2025) World-aware Planning Narratives Enhance Large Vision-Language Model Planner Junhao Shi, Zhaoye Fei, Siyin Wang, Qipeng Guo, Jingjing Gong, Xipeng Qiu
(2024) RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models Zhuoran jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
(2024) DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model Yuqi Wang, Ke Cheng, Jiawei He, Qitai Wang, Hengchen Dai, Yuntao Chen, Fei Xia, Zhaoxiang Zhang
(2024) Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen
(2024) Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
(2024) Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models Nitzan Bitton-Guetta, Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton, Idan Szpektor, Amir Globerson, Yuval Elovici
(2024) iVideoGPT: Interactive VideoGPTs are Scalable World Models Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
(2024) Agent Planning with World Knowledge Model Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
(2024) Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun
(2024) Simplifying Latent Dynamics with Softly State-Invariant World Models Tankred Saanum, Peter Dayan, Eric Schulz
(2024) Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Qi Wang, Junming Yang, Yunbo Wang, Xin Jin, Wenjun Zeng, Xiaokang Yang
(2024) UMB: Understanding Model Behavior for Open-World Object Detection Xing Xi, Yangyang Huang, Zhijie Zhong, Ronghua Luo
(2024) Discovery of the Hidden World with Large Language Models Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
(2024) Leveraging Separated World Model for Exploration in Visually Distracted Environments Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan
(2024) PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation Kaidong Zhang, Pengzhen Ren, Bingqian Lin, Junfan Lin, Shikui Ma, Hang Xu, Xiaodan Liang
(2024) Diffusion for World Modeling: Visual Details Matter in Atari Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret
(2024) GenRL: Multimodal-foundation world models for generalization in embodied agents Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar
(2024) Grounded Answers for Multi-agent Decision-making Problem through Generative World Model Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan
(2024) WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment Hao Tang, Darren Key, Kevin Ellis
(2024) Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen
(2024) Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
(2024) In-Context Symmetries: Self-Supervised Learning through Contextual World Models Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka
(2024) Evaluating the World Model Implicit in a Generative Model Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan
(2024) Learning World Models for Unconstrained Goal Navigation Yuanlin Duan, Wensen Mao, He Zhu
(2024) Operator World Models for Reinforcement Learning Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto
(2023) Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models Yeongbin Kim, Gautam Singh, Junyeong Park, Caglar Gulcehre, Sungjin Ahn
(2023) Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long
(2023) Learning World Models with Identifiable Factorization Yuren Liu, Biwei Huang, Zhengmao Zhu, Honglong Tian, Mingming Gong, Yang Yu, Kun Zhang
(2023) Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning Fan Feng, Sara Magliacane
(2023) Task-aware world model learning with meta weighting via bi-level optimization Huining Yuan, Hongkun Dou, Xingyu Jiang, Yue Deng
(2023) CQM: Curriculum Reinforcement Learning with a Quantized World Model Seungjae Lee, Daesol Cho, Jonghae Park, H. Jin Kim
(2023) STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang
(2023) 3D-LLM: Injecting the 3D World into Large Language Models Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, Chuang Gan
(2023) When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong
(2023) Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
(2023) Facing Off World Model Backbones: RNNs, Transformers, and S4 Fei Deng, Junyeong Park, Sungjin Ahn
(2023) Multi Time Scale World Models Vaisakh Shaj Kumar, SALEH GHOLAM ZADEH, Ozan Demir, Luiz Douat, Gerhard Neumann
(2023) Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
(2023) Language Models Meet World Models: Embodied Experiences Enhance Language Models Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
(2022) AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos Yanze Wu, Xintao Wang, GEN LI, Ying Shan
(2022) CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior Eldar D Abraham, Karel D'Oosterlinck, Amir Feder, Yair Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
(2022) Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip Ball, Oleh Rybkin, S Roberts, Tim Rocktäschel, Edward Grefenstette
(2022) Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan, Xiangming Zhu, Yunbo Wang, Xiaokang Yang
(2022) Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation Cansu Sancaktar, Sebastian Blaes, Georg Martius
(2022) Best of Both Worlds Model Selection Aldo Pacchiano, Christoph Dann, Claudio Gentile
(2021) Learning Knowledge Graph-based World Models of Textual Environments Prithviraj Ammanabrolu, Mark Riedl
(2021) Discovering and Achieving Goals via World Models Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
(2020) Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov, Nicu Sebe
(2019) Learning to Predict Without Looking Ahead: World Models Without Forward Prediction Daniel Freeman, David Ha, Luke Metz
(2018) Recurrent World Models Facilitate Policy Evolution David Ha, Jürgen Schmidhuber
(2017) Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
(2003) Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System Marc Toussaint
(2002) Linear Combinations of Optic Flow Vectors for Estimating Self-Motion - a Real-World Test of a Neural Model Matthias O. Franz, Javaan S. Chahl
(1990) Planning with an Adaptive World Model Sebastian Thrun, Knut Möller, Alexander Linden

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