The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published Jun 28 • 170
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps Paper • 2605.16928 • Published May 16 • 99
view article Article Ultra-Long Sequence Parallelism: Ulysses + Ring-Attention Technical Principles and Implementation exploding-gradients • Sep 16, 2025 • 21
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem Paper • 2512.24873 • Published Dec 31, 2025 • 110
Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization Paper • 2510.13554 • Published Oct 15, 2025 • 59
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning Paper • 2508.08221 • Published Aug 11, 2025 • 50
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library Paper • 2506.06122 • Published Jun 6, 2025 • 7