AdaGEPA: Adaptive Feedback Allocation for Reflective Prompt Optimization
Prompt optimization improves the performance of language-model systems on downstream tasks by refining their prompts. Classical methods evaluate prompts on task examples and use the resulting feedback to guide prompt revisions through reflection. However, when feedback selection does not account for the prompt's weakne...
Jun-Yang Chen, Ze-Cheng Wang, Jing-Bang Chen
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