WarpSAC: Towards the Pinnacle of Scalable Off-policy RL by Rethinking Exploration and Exploitation Paper • 2608.24479 • Published 8 days ago • 141
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published 16 days ago • 339
HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Paper • 2607.25895 • Published Jul 28 • 158
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published Jul 22 • 193
deepdml/whisper-tiny-es-mix-norm Automatic Speech Recognition • 37.8M • Updated 14 days ago • 2.59k • 1
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published Jul 21 • 312
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published Jul 20 • 198
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation Paper • 2607.13431 • Published Jul 15 • 20
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 • 235
Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation Paper • 2607.11886 • Published Jul 13 • 86
GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF Text Generation • 1B • Updated Jul 13 • 332k • 328
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published Jun 28 • 170