Large language models for automated Q&A involving legal documents: a survey on algorithms, frameworks and applications

IF 2.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xiaoxian Yang, Zhifeng Wang, Qi Wang, Ke Wei, Kaiqi Zhang, Jiangang Shi
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引用次数: 0

Abstract

Purpose This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice. Design/methodology/approach This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs. Findings To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required. Originality/value This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.
用于法律文件自动问答的大型语言模型:关于算法、框架和应用的调查
目的 本研究旨在采用系统综述的方法,对现有的法律和法律硕士文献进行研究。综述涉及多个方面,包括对 LLMs 的分析、法律自然语言处理 (NLP)、模型调整技术、数据处理策略以及应对法律问答 (Q&A) 系统相关挑战的框架。此外,本研究还探讨了在智能司法领域整合法律问答系统可带来的潜在应用和服务。研究旨在确定与开发基于法律知识的问答系统相关的挑战,并探索未来研究与开发的潜在方向。研究结果为了有效地应用法律 LLM,需要对 LLM、法律 NLP 和模型调整技术进行系统的研究。原创性/价值本研究通过对法律 LLM 研究现状的全面回顾,为智能司法领域做出了贡献。
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来源期刊
International Journal of Web Information Systems
International Journal of Web Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.60
自引率
0.00%
发文量
19
期刊介绍: The Global Information Infrastructure is a daily reality. In spite of the many applications in all domains of our societies: e-business, e-commerce, e-learning, e-science, and e-government, for instance, and in spite of the tremendous advances by engineers and scientists, the seamless development of Web information systems and services remains a major challenge. The journal examines how current shared vision for the future is one of semantically-rich information and service oriented architecture for global information systems. This vision is at the convergence of progress in technologies such as XML, Web services, RDF, OWL, of multimedia, multimodal, and multilingual information retrieval, and of distributed, mobile and ubiquitous computing. Topicality While the International Journal of Web Information Systems covers a broad range of topics, the journal welcomes papers that provide a perspective on all aspects of Web information systems: Web semantics and Web dynamics, Web mining and searching, Web databases and Web data integration, Web-based commerce and e-business, Web collaboration and distributed computing, Internet computing and networks, performance of Web applications, and Web multimedia services and Web-based education.
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