Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answering 事件

Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answering arXiv:2605.29742v1 Announce Type: new Abstract: Deploying Large Language Models (LLMs) for regulatory compliance demands rigorous traceability via comprehensive citations across multi-tiered authority structures. Unlike traditional multi-hop or legal QA, this task requires structured procedural lookups and evidence-set closure rather than entity resolution or case-law reasoning. Existing