How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF Paper • 2607.19712 • Published 17 days ago • 4
AREX: Towards a Recursively Self-Improving Agent for Deep Research Paper • 2607.21461 • Published 16 days ago • 152
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published 18 days ago • 309
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published 19 days ago • 198
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs Paper • 2607.17423 • Published 20 days ago • 166
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Paper • 2607.12993 • Published 25 days ago • 131
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Paper • 2607.13285 • Published 25 days ago • 232
AnyBokeh: Physics-Guided Any-to-Any Bokeh Editing with Optical Fingerprint Transfer Paper • 2606.31959 • Published Jun 30 • 10
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision Paper • 2606.17162 • Published Jun 15 • 177
ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining Paper • 2606.17200 • Published Jun 15 • 55
Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding? Paper • 2606.08063 • Published Jun 6 • 82