COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values Paper • 2504.05535 • Published about 1 month ago • 44
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback Paper • 2503.22230 • Published Mar 28 • 44
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond Paper • 2503.10460 • Published Mar 13 • 28
view article Article Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM Mar 12 • 408
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations Paper • 2410.10315 • Published Oct 14, 2024 • 3
UI-TARS: Pioneering Automated GUI Interaction with Native Agents Paper • 2501.12326 • Published Jan 21 • 58
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 29
TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation Paper • 2503.04872 • Published Mar 6 • 15
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! Paper • 2502.07374 • Published Feb 11 • 40
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published Jan 14 • 289
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 98
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Paper • 2501.04519 • Published Jan 8 • 276
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey Paper • 2412.18619 • Published Dec 16, 2024 • 58
ProcessBench: Identifying Process Errors in Mathematical Reasoning Paper • 2412.06559 • Published Dec 9, 2024 • 83