Papers by Andre Wang He
Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening (2025.emnlp-main)
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| Challenge: | Reinforcement learning is emerging as a primary driver for improving language model reasoning capabilities. |
| Approach: | They propose a method for explicitly up-weighting rare but correct solutions to overcome rank bias in group relative policy optimization (GRPO) . |
| Outcome: | The proposed method mitigates rank bias and improves pass@N across a large range of N in both synthetic and real theorem proving settings. |