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Cedric Richter

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Preprint Jul 2026

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 specification-level and implementation-level failures.

Amal Akli, Melissa Akli, Cedric Richter et al. · 0 citations