rule-optimization

This paper introduces a self-evolving framework that uses an LLM-based agent to iteratively create and refine query rewriting rules for BM25 in legal case retrieval, outperforming non-evolutionary baselines on the LeCaRD-v2 benchmark without any parameter training.