Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Paper • 2506.01939 • Published 27 days ago • 164
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Paper • 2506.01939 • Published 27 days ago • 164
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Paper • 2501.11873 • Published Jan 21 • 66
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 99 • 8
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 99
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 99 • 8
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 99