AI RESEARCH
Legal-DC: Benchmarking Retrieval-Augmented Generation for Legal Documents
arXiv CS.CL
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ArXi:2603.11772v1 Announce Type: new Retrieval-Augmented Generation (RAG) has emerged as a promising technology for legal document consultation, yet its application in Chinese legal scenarios faces two key limitations: existing benchmarks lack specialized for joint retriever-generator evaluation, and mainstream RAG systems often fail to accommodate the structured nature of legal provisions.