GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning Paper • 2602.12099 • Published 8 days ago • 55
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs Paper • 2602.10388 • Published 9 days ago • 218
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Paper • 2602.08222 • Published 11 days ago • 258
AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents Paper • 2602.06855 • Published 14 days ago • 71
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining Paper • 2602.07085 • Published 14 days ago • 181
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare Paper • 2602.06717 • Published 14 days ago • 71
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper • 2602.04634 • Published 16 days ago • 93
Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations Paper • 2602.05885 • Published 15 days ago • 28
Reinforcement World Model Learning for LLM-based Agents Paper • 2602.05842 • Published 15 days ago • 27
No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data Paper • 2602.04442 • Published 16 days ago • 3
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots Paper • 2602.00919 • Published 19 days ago • 282
SWE-Universe: Scale Real-World Verifiable Environments to Millions Paper • 2602.02361 • Published 18 days ago • 60
VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents Paper • 2601.16973 • Published 28 days ago • 40
view article Article The Engineering Handbook for GRPO + LoRA with Verl: Training Qwen2.5 on Multi-GPU Jan 2 • 13