大型语言模型的法律知识注入研究

IF 15.5 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Information Fusion Pub Date : 2025-07-11 DOI:10.1016/j.inffus.2025.103426

Qian Liu , Hang Yu , Qiqi Wang , Qi Xu , Jinpeng Li , Zhuoqun Zou , Rui Mao , Erik Cambria

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引用次数: 0

摘要

大型语言模型（llm）已经展示了令人印象深刻的能力，并且越来越多地被探索用于法律领域的应用。尽管取得了这些进步，但由于缺乏法律知识，llm在向法律专业人士和外行人提供可靠的法律援助方面仍然面临挑战。在这种限制下，最近的研究开始探索将法律知识融入法学硕士，以提高法学硕士的理解、分析和决策能力。我们首先探讨不同类型的法律知识，是或可以由法学硕士使用。然后，我们全面回顾了目前融合这些知识的四种方法。接下来，我们讨论了法学硕士面临的挑战，并提出了未来的研究方向，强调了学术界和法律从业者之间合作的重要性，以推进法律领域的应用。

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Legal knowledge infusion for large language models: A survey

Large Language Models (LLMs) have demonstrated impressive capabilities and are increasingly being explored for applications in the legal field. Despite these advancements, LLMs still face challenges in providing reliable legal assistance to legal professionals and laypeople due to the lack of legal knowledge. Under this limitation, recent research has begun to explore the integration of legal knowledge into LLMs to enhance LLMs’ comprehension, analysis, and decision-making abilities. We first explore the different types of legal knowledge that are or can be used by LLMs. Then, we comprehensively review four types of current methods for fusing this knowledge. Next, we discuss the challenges faced by legal LLMs and propose future research directions, highlighting the importance of collaboration between academia and legal practitioners to advance applications in the legal field.

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来源期刊

Information Fusion 工程技术-计算机：理论方法

CiteScore

33.20

自引率

4.30%

发文量

161

审稿时长

7.9 months

期刊介绍： Information Fusion serves as a central platform for showcasing advancements in multi-sensor, multi-source, multi-process information fusion, fostering collaboration among diverse disciplines driving its progress. It is the leading outlet for sharing research and development in this field, focusing on architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome.