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: A Short Survey of Viewing Large Language Models in Legal Aspect
该综述论文梳理了大型语言模型(LLM)在法律领域的集成现状,涵盖其在法律判决预测、法律文书分析与文书起草等任务中的应用,并讨论了由此引发的隐私保护、算法偏见与可解释性等法律问题。文章还考察了用于法律领域模型特化的数据资源,并展望了未来研究方向。
展示来源全文,完整内容以原文页面为准。
arXiv:2303.09136v2 Announce Type: replace Abstract: Large language models (LLMs) have transformed many fields, including natural language processing, computer vision, and reinforcement learning. These models have also made a significant impact in the field of law, where they are being increasingly utilized to automate various legal tasks, such as legal judgement prediction, legal document analysis, and legal document writing. However, the integration of LLMs into the legal field has also raised several legal problems, including privacy concerns, bias, and explainability. In this survey, we explore the integration of LLMs into the field of law. We discuss the various applications of LLMs in legal tasks, examine the legal challenges that arise from their use, and explore the data resources that can be used to specialize LLMs in the legal domain. Finally, we discuss several promising directions and conclude this paper. By doing so, we hope to provide an overview of the current state of LLMs in law and highlight the potential benefits and challenges of their integration.
大型语言模型融入法律实务引发隐私、偏见与可解释性等法律合规问题。
文书与研报规范引注
《从法律视角审视大型语言模型的应用与挑战》(来源: arXiv cs.CL,发布日期: 2026/09/12,访问链接: https://arxiv.org/abs/2303.09136)