Papers by Jingyong Ye

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Challenge:	Reinforcement learning (RL) has emerged as an effective approach for enhancing the reasoning capabilities of large language models.
Approach:	They propose an algorithm that optimizes cross-entropy loss using advantages enhanced through a margin-based estimation scheme.
Outcome:	Experimental results show that AAPO improves group relative advantage estimation compared to other methods.