HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published 2 days ago • 113
Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization Paper • 2608.16072 • Published 2 days ago • 47
Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill Paper • 2608.11924 • Published 7 days ago • 282
SimWAM: A Simple World Action Model for End-to-End Autonomous Driving Paper • 2608.07468 • Published 12 days ago • 105
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA Paper • 2608.09819 • Published 9 days ago • 334
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction Paper • 2607.29677 • Published 19 days ago • 24
TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting Paper • 2607.28261 • Published 20 days ago • 116
Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents Paper • 2607.28227 • Published 20 days ago • 306
DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation Paper • 2607.26811 • Published 21 days ago • 92
HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Paper • 2607.25895 • Published 22 days ago • 156
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published 28 days ago • 193
AREX: Towards a Recursively Self-Improving Agent for Deep Research Paper • 2607.21461 • Published 27 days ago • 154
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published 28 days ago • 311
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published about 1 month ago • 198