法律 AI // 资讯总览
需要被持续追踪的
法律 AI 信号。
本期索引按监管、判例、实务与研究归档；可依主题或关键字定位已发布记录。
法律 AI // 资讯总览
本期索引按监管、判例、实务与研究归档；可依主题或关键字定位已发布记录。
原题: ViLegalExpert: A Large-Scale Benchmark for Vietnamese Legal Retrieval and Question Answering from Real-World Consultations
反映国内外法律 AI 行业发展、前沿技术演进与学术治理动态。
arXiv发布论文《ViLegalExpert：基于真实咨询的越南法律检索与问答大规模基准》。该基准从公民与律师的真实咨询中构建，收录超过17.2万条问题，覆盖34个法律领域，并配套专业回答及经专家核验的法律证据，支持法律信息检索、抽取式问答和生成式问答评测。实验显示，现有模型在问答任务上表现较强，但权威证据检索和基于证据生成回答仍存在明显困难，混合检索方法取得最佳检索效果。该研究属于法律人工智能评测与科研进展，不构成越南法律规则、司法裁判或监管要求的变更。
背景：arXiv是一个免费、开放获取的学术预印本和后印本在线存档，收录多个科学领域的文章，但不进行同行评审。
展示来源全文，完整内容以原文页面为准。
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Abstract:Trustworthy Legal AI requires systems that can answer legal questions while grounding their responses in authoritative sources. However, existing Vietnamese legal benchmarks provide limited coverage of real-world legal consultations. We introduce \textbf{ViLegalExpert}, a large-scale benchmark constructed from authentic citizen--lawyer consultations, containing over \textbf{172K} questions across \textbf{34 legal domains}, together with professional answers and expert-verified legal evidence. ViLegalExpert supports legal information retrieval, extractive QA, and abstractive QA. Experiments with representative retrieval methods and language models reveal substantial challenges in evidence retrieval and grounded answer generation. While pretrained models perform strongly on QA, hybrid retrieval achieves the best retrieval performance. These results demonstrate the difficulty of mapping naturally expressed legal questions to authoritative provisions and establish ViLegalExpert as a challenging benchmark for reliable Vietnamese Legal AI.
Submission history From: Nghia Hieu Nguyen [view email] [v1]
Wed, 30 Sep 2026 07:43:15 UTC (214 KB)
文书与研报规范引注
《越南法律检索与问答大规模基准发布》（来源: arXiv cs.CL，发布日期: 2026/10/02，访问链接: https://arxiv.org/abs/2609.39189）