RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Paper • 2606.22749 • Published 20 days ago • 3
Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time Paper • 2606.15631 • Published 28 days ago • 16
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Paper • 2606.03979 • Published Jun 2 • 29
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published May 27 • 431
OpenComputer: Verifiable Software Worlds for Computer-Use Agents Paper • 2605.19769 • Published May 19 • 86
Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality? Paper • 2605.22109 • Published May 21 • 171
SEIF: Self-Evolving Reinforcement Learning for Instruction Following Paper • 2605.07465 • Published May 8 • 30
GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents Paper • 2604.07429 • Published Apr 8 • 123
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time Paper • 2604.11626 • Published Apr 13 • 103
SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models Paper • 2603.16859 • Published Mar 17 • 248