From Failing to Passing: Evolving Natural Language Prompt Optimization Rules for LLM Code Generation

Large language models are known to be sensitive to prompt formulation. Even minor variations in wording can substantially degrade performance. This sensitivity reveals an opportunity: if prompt phrasing can harm performance, can it be used to improve it? To investigate this question, we introduce a ...