智能法律助手通过交互式追问，精准捕捉用户真实法律需求。
Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering
- 用户提问后，系统引导选择地理位置并补全关键信息
- 结合缺失信息生成澄清问题，提升法律分析准确性
- 输出包含结论、判例分析与建议的深度法律解析
大语言模型的兴起为寻求法律咨询的用户开辟了新途径。然而，用户普遍缺乏专业法律知识，常导致提问遗漏关键信息，使传统法律问答系统难以准确识别真实需求，往往给出模糊或泛化的建议。为此，本文开发了名为 Intelligent Legal Assistant 的法律问答系统，通过与用户交互精准捕捉其实际需求。当用户提出问题时，系统首先要求用户选择地理区域以确定适用法律；随后根据初始问题中缺失的关键信息，生成澄清问题及选项，引导用户补充必要细节。在所有必要信息完备后，系统提供涵盖总体结论、判例分析和解决方案建议的深度法律分析。
原文摘要 · Abstract (English)
The rise of large language models has opened new avenues for users seeking legal advice. However, users often lack professional legal knowledge, which can lead to questions that omit critical information. This deficiency makes it challenging for traditional legal question-answering systems to accurately identify users' actual needs, often resulting in imprecise or generalized advice. In this work, we develop a legal question-answering system called Intelligent Legal Assistant, which interacts with users to precisely capture their needs. When a user poses a question, the system requests that the user select their geographical location to pinpoint the applicable laws. It then generates clarifying questions and options based on the key information missing from the user's initial question. This allows the user to select and provide the necessary details. Once all necessary information is provided, the system produces an in-depth legal analysis encompassing three aspects: overall conclusion, jurisprudential analysis, and resolution suggestions.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。