From Failing to Passing: Evolving Natural Language Prompt Optimization Rules for LLM Code Generation
This work introduces a search-based approach that identifies and evolves a set of natural language transformation rules with strong downstream effects on coding performance, and proposes DUALFIX, a staged repair pipeline that combines the evolved transformation rules with execution-feedback repair, addressing both spec...