Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published 8 days ago • 151
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published 8 days ago • 303
AREX: Towards a Recursively Self-Improving Agent for Deep Research Paper • 2607.21461 • Published 7 days ago • 147
GRASP: GRanularity-Aware Search Policy for Agentic RAG Paper • 2607.10463 • Published 19 days ago • 9
RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Paper • 2607.06558 • Published 23 days ago • 79
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision Paper • 2606.17162 • Published Jun 15 • 177
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning Paper • 2606.24428 • Published Jun 23 • 52
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models Paper • 2606.11324 • Published Jun 9 • 172
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Paper • 2606.19195 • Published Jun 17 • 141
DragMesh-2: Physically Plausible Dexterous Hand-Object Interaction with Articulated Objects Paper • 2606.15133 • Published Jun 13 • 74