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MA-SAPO: Multi-Agent Reasoning for Score-Aware Prompt Optimization
Prompt optimization has become a practical way to improve the performance of Large Language Models (LLMs) without retraining. However, most existing frameworks treat evaluation as a black box, relying solely on outcome scores without explaining why prompts succeed or fail. Moreover, they involve rep
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