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world model

311 papers

WM

Papers

Aether: Geometric-Aware Unified World Modeling ICCV 2025 An Efficient Dialogue Policy Agent with Model-Based Causal Reinforcement Learning COLING 2025 CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning CVPR 2025 CoEx – Co-evolving World-model and Exploration EMNLP 2025 Continual Reinforcement Learning by Planning with Online World Models ICML 2025 DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue EMNLP 2025 Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model ACL 2025 DIO: Decomposable Implicit 4D Occupancy-Flow World Model CVPR 2025 Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025 DiWA: Diffusion Policy Adaptation with World Models CoRL 2025 Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation ACL 2025 Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient ICLR 2025 Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling EMNLP 2025 Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination ICLR 2025 Dreamweaver: Learning Compositional World Models from Pixels ICLR 2025 DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation AAAI 2025 DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation CVPR 2025 DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving ICCV 2025 DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers ICCV 2025 Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving AAAI 2025 EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance CVPR 2025 Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction ICLR 2025 Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning EMNLP 2025 EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning ICLR 2025 Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning ICLR 2025