G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning Paper • 2505.13426 • Published May 19 • 13
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining Paper • 2505.07608 • Published May 12 • 81
Running 2.8k 2.8k The Ultra-Scale Playbook 🌌 The ultimate guide to training LLM on large GPU Clusters
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Paper • 2502.11089 • Published Feb 16 • 161
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models Paper • 2502.07346 • Published Feb 11 • 54
Expect the Unexpected: FailSafe Long Context QA for Finance Paper • 2502.06329 • Published Feb 10 • 132
Teaching Language Models to Critique via Reinforcement Learning Paper • 2502.03492 • Published Feb 5 • 24
Scaling Pre-training to One Hundred Billion Data for Vision Language Models Paper • 2502.07617 • Published Feb 11 • 29