HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness? Paper • 2609.01437 • Published 14 days ago • 268
Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling Paper • 2608.30821 • Published 15 days ago • 120
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published 29 days ago • 340
Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization Paper • 2608.16072 • Published 29 days ago • 151
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA Paper • 2608.09819 • Published Aug 10 • 343
How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF Paper • 2607.19712 • Published Jul 22 • 4
AREX: Towards a Recursively Self-Improving Agent for Deep Research Paper • 2607.21461 • Published Jul 23 • 156
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published Jul 21 • 314
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published Jul 20 • 200
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs Paper • 2607.17423 • Published Jul 19 • 168
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Paper • 2607.12993 • Published Jul 14 • 131
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Paper • 2607.13285 • Published Jul 14 • 236
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 • 179
ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining Paper • 2606.17200 • Published Jun 15 • 56
Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding? Paper • 2606.08063 • Published Jun 6 • 82
Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization Paper • 2605.13641 • Published May 13 • 52