Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published 12 days ago • 192
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published 12 days ago • 307
Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation Paper • 2607.11886 • Published 21 days ago • 84
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Paper • 2607.12993 • Published 20 days ago • 131
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Paper • 2607.13285 • Published 20 days ago • 232
Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents Paper • 2511.07397 • Published Jul 1 • 12
OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data Paper • 2606.13432 • Published Jun 11 • 113
Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration Paper • 2605.17423 • Published May 17 • 34
SEIF: Self-Evolving Reinforcement Learning for Instruction Following Paper • 2605.07465 • Published May 8 • 30
An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU Paper • 2603.16428 • Published Mar 17 • 51
HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents Paper • 2604.07430 • Published Apr 8 • 181
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers Paper • 2603.24414 • Published Mar 25 • 183