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: LexIssue: Benchmarking Legal Issue Identification in Chinese Civil Litigation
研究者提出一项名为LexIssue的基准，用于评估AI在中国民事诉讼中识别双方争议法律问题的能力。该基准包含430个真实中国民事案件和1303条专家标注的争议法律问题，并将任务拆分为争点生成与争点分类两项互补任务。团队还构建了覆盖27个案由、441个候选争点条目的法律知识库。实验显示，结合该知识库的检索增强生成方法能持续提升模型识别争议法律问题及其法律属性的表现。
展示来源全文，完整内容以原文页面为准。
arXiv:2609.02954v1 Announce Type: new Abstract: Identifying the issues disputed between litigating parties is a crucial component of real-world litigation. However, legal issues remain comparatively underexplored in legal AI research. In this work, we study the computational modelling of legal issue identification in litigation. We introduce a legally grounded hierarchical schema that represents legal issues through both free-form issue descriptions and structured legal categories, and formulate legal issue identification as two complementary tasks: legal issue generation and legal issue classification. Based on this formulation, we construct LexIssue, a benchmark containing 430 real-world Chinese civil litigation cases and 1,303 expert-annotated disputed legal issues. We further develop an issue-centric legal knowledge base spanning 27 causes of action and 441 candidate legal issue entries to support retrieval-augmented reasoning. Experimental results across a diverse set of models show that retrieval-augmented generation using the constructed legal issue knowledge base consistently improves performance in identifying disputed legal issues and their corresponding legal attributes.
大语言模型能否准确识别民事诉讼中的争议焦点及其对应的法律属性。
关注检索增强与结构化争点体系在类案检索和争议焦点归纳中的应用潜力。
文书与研报规范引注
《LexIssue基准测试中国民事诉讼中的法律争点识别》（来源: arXiv cs.CL，发布日期: 2026/09/15，访问链接: https://arxiv.org/abs/2609.02954）