S-Space: Exploring Spatial Workspace in Multimodal Language Models Paper • 2610.13527 • Published 3 days ago • 200
PhysFieldBench: Can Multimodal Models Understand Physical Fields? Paper • 2609.34072 • Published 15 days ago
S-Space: Exploring Spatial Workspace in Multimodal Language Models Paper • 2610.13527 • Published 3 days ago • 200
Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning Paper • 2608.27549 • Published Aug 27 • 48
Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning Paper • 2608.27549 • Published Aug 27 • 48
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published Aug 17 • 122
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published Aug 17 • 122
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models Paper • 2604.04707 • Published Apr 6 • 199
Thoth: Mid-Training Bridges LLMs to Time Series Understanding Paper • 2603.01042 • Published Mar 1 • 1
Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models Paper • 2601.19834 • Published Jan 27 • 25
Audio-Visual World Models: Towards Multisensory Imagination in Sight and Sound Paper • 2512.00883 • Published Nov 30, 2025
Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models Paper • 2601.19834 • Published Jan 27 • 25
Long-Sequence Recommendation Models Need Decoupled Embeddings Paper • 2410.02604 • Published Oct 3, 2024
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Paper • 2305.18499 • Published May 29, 2023
Supercompiler Code Optimization with Zero-Shot Reinforcement Learning Paper • 2404.16077 • Published Apr 24, 2024
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations Paper • 2211.06839 • Published Nov 13, 2022