reflective-search

The paper proposes a two-stage framework for reflective prompt optimization that decouples candidate-pool construction from validation allocation, achieving up to 11.22 percentage point gains over the initial solver on five benchmarks using Qwen3.5-9B and Llama-3.1-8B-Instruct.