Papers by Jixiao Zhang
GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for group-relative policy optimization face challenges in reward sparsity, verbosity and inadequate focus on problem difficulty. |
| Approach: | They propose a method to improve group relative policy optimization with length-regularized rewards and explicit penalties for incorrect solutions. |
| Outcome: | The proposed method achieves state-of-the-art performance for 14B-scale models . it improves reasoning accuracy, conciseness, and efficiency . |