An LLM agent self-evolves a set of query-rewriting rules that raise BM25 performance on the LeCaRD-v2 legal retrieval benchmark above human-designed and greedy baselines.
ELLA : Empowering LLM s for Interpretable, Accurate and Informative Legal Advice
2 Pith papers cite this work. Polarity classification is still indexing.
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LLMs show minimal sociodemographic disparities in advice because they infer user demographics poorly from history; conversation topics are the main predictor and act as proxies for groups.
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When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval
An LLM agent self-evolves a set of query-rewriting rules that raise BM25 performance on the LeCaRD-v2 legal retrieval benchmark above human-designed and greedy baselines.