HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness? Paper • 2609.01437 • Published 3 days ago • 223
Chat-Edit-3D++: Interactive 3D and 4D Scene Editing via Large Language Models Paper • 2608.29137 • Published 6 days ago • 4
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published 18 days ago • 339
OmniScientist: An Omni-Modal Omni-Discipline AI Scientist Paper • 2608.13558 • Published 22 days ago • 92
SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks Paper • 2608.02023 • Published Aug 3 • 158
DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation Paper • 2607.26811 • Published Jul 29 • 93
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published Jul 22 • 193
HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Paper • 2607.25895 • Published Jul 28 • 158
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published Jul 21 • 313
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published Jul 20 • 198
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Paper • 2607.12993 • Published Jul 14 • 131
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published Jun 28 • 170
SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions Paper • 2606.30573 • Published Jun 29 • 8
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models Paper • 2606.11324 • Published Jun 9 • 173
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation Paper • 2605.31264 • Published May 29 • 132
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published May 27 • 434