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arXiv:2610.13695 · RAG 检索增强

Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge Graph

Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge Graph

类型：arxiv
标识：2610.13695
链接：http://arxiv.org/abs/2610.13695v1
主分类：rag
形态：method
TLDR：Any automation within reliability-critical contexts such as medicine or law has to be transparent and verifiable. Despite their advantages, current LLM-based systems do not meet these requirements due to their inherent black-box nature. Retrieval Augmented Generation (RAG) attempts to ground the generative process in the relevant interpretable documents, thereby reducing the risk of AI 'hallucinations' and potentially enabling verification of the initial generation context. However, as the number and size of potential sources increases, naive retrieval approaches tend to perform worse, ignorin
待LLM分类：否
来源文件：
/inbox/tom/_candidates/2026-10-12-agent-rag-longcontext-candidates.json

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arXiv

2610.13695

TLDR

Any automation within reliability-critical contexts such as medicine or law has to be transparent and verifiable. Despite their advantages, current LLM-based systems do not meet these requirements due to their inherent black-box nature. Retrieval Augmented Generation (RAG) attempts to ground the generative process in the relevant interpretable documents, thereby reducing the risk of AI 'hallucinations' and potentially enabling verification of the initial generation context. However, as the number and size of potential sources increases, naive retrieval approaches tend to perform worse, ignorin

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