标题： 使用大语言模型自动进行法律概念解释：检索、生成和评估 显示英文标题

标题： Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation

摘要： 法律条文通常包含模糊概念，以适应不断变化的社会。 对这些概念进行详细解释，即使是法律从业者也是一项关键且具有挑战性的任务。 这需要法律专家进行细致专业的注释和总结，而大规模收集这些内容显然耗时且昂贵。 通过模仿法律专家的学说方法，我们引入了一个新的框架ATRIE，利用大语言模型（LLMs）自动检索相关概念信息， 解释法律概念，并评估生成的解释，从而消除对法律专家的依赖。 ATRIE包括一个法律概念解释器和一个法律概念解释评估器。 解释器使用LLMs从司法判例中检索相关信息并解释法律概念。 评估器使用我们在法律概念蕴含上的性能变化作为解释质量的代理指标。 自动化的多方面人工评估表明，我们解释的质量与法律专家撰写的解释相当，且在全面性和可读性方面更具优势。 尽管在准确性上仍存在微小差距，但它已经能够帮助法律从业者提高概念解释的效率。 显示英文摘要

摘要： Legal articles often include vague concepts for adapting to the ever-changing society. Providing detailed interpretations of these concepts is a critical and challenging task even for legal practitioners. It requires meticulous and professional annotations and summarizations by legal experts, which are admittedly time-consuming and expensive to collect at scale. By emulating legal experts' doctrinal method, we introduce a novel framework, ATRIE, using large language models (LLMs) to AuTomatically Retrieve concept-related information, Interpret legal concepts, and Evaluate generated interpretations, eliminating dependence on legal experts. ATRIE comprises a legal concept interpreter and a legal concept interpretation evaluator. The interpreter uses LLMs to retrieve relevant information from judicial precedents and interpret legal concepts. The evaluator uses performance changes on legal concept entailment, a downstream task we propose, as a proxy of interpretation quality. Automatic and multifaceted human evaluations indicate that the quality of our interpretations is comparable to those written by legal experts, with superior comprehensiveness and readability. Although there remains a slight gap in accuracy, it can already assist legal practitioners in improving the efficiency of concept interpretation.