A locate-then-optimize prompt pipeline raises GPT-4-judged scores of a multi-agent software developer across five dimensions, but lacks error bars, code, and an evaluation metric independent of the optimization target.
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Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development
A locate-then-optimize prompt pipeline raises GPT-4-judged scores of a multi-agent software developer across five dimensions, but lacks error bars, code, and an evaluation metric independent of the optimization target.