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相关论文: Enhancing Legal Compliance and Regulation Analysis…

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As software-intensive systems face growing pressure to comply with laws and regulations, providing automated support for compliance analysis has become paramount. Despite advances in the Requirements Engineering (RE) community on legal…

软件工程 · 计算机科学 2024-04-23 Shabnam Hassani , Mehrdad Sabetzadeh , Daniel Amyot , Jain Liao

Large Language Models (LLMs) such as GPT-4.0 have shown significant promise in addressing the semantic complexities of regulatory documents, particularly in detecting inconsistencies and contradictions. This study evaluates GPT-4.0's…

计算与语言 · 计算机科学 2024-12-31 Bimal Kumar , Dmitri Roussinov

As Industry 4.0 transforms the food industry, the role of software in achieving compliance with food-safety regulations is becoming increasingly critical. Food-safety regulations, like those in many legal domains, have largely been…

软件工程 · 计算机科学 2025-01-27 Shabnam Hassani , Mehrdad Sabetzadeh , Daniel Amyot

Better understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence, and leveraging LLMs to identify inconsistencies in law. This…

In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: domains characterized by their reliance on professional…

The auditing of financial documents, historically a labor-intensive process, stands on the precipice of transformation. AI-driven solutions have made inroads into streamlining this process by recommending pertinent text passages from…

Compliance checking is an essential part of a construction project. The recent rapid uptake of building information models (BIM) in the construction industry has created more opportunities for automated compliance checking (ACC). BIM…

计算与语言 · 计算机科学 2024-08-01 Stefan Fuchs , Michael Witbrock , Johannes Dimyadi , Robert Amor

Large Language Models (LLMs) have been increasingly used to optimize the analysis and synthesis of legal documents, enabling the automation of tasks such as summarization, classification, and retrieval of legal information. This study aims…

计算与语言 · 计算机科学 2025-04-02 Matheus Belarmino , Rackel Coelho , Roberto Lotudo , Jayr Pereira

The recent advances in large language models (LLMs) have significantly expanded their applications across various fields such as language generation, summarization, and complex question answering. However, their application to privacy…

Ensuring compliance with international data protection standards for privacy and data security is a crucial but complex task, often requiring substantial legal expertise. This paper introduces LegiLM, a novel legal language model…

计算与语言 · 计算机科学 2024-09-24 Linkai Zhu , Lu Yang , Chaofan Li , Shanwen Hu , Lu Liu , Bin Yin

Large Language Models (LLMs) have significantly advanced the development of Legal Artificial Intelligence (Legal AI) in recent years, enhancing the efficiency and accuracy of legal tasks. To advance research and applications of LLM-based…

计算与语言 · 计算机科学 2025-09-15 Zhitian Hou , Zihan Ye , Nanli Zeng , Tianyong Hao , Kun Zeng

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…

计算与语言 · 计算机科学 2023-03-17 Zhongxiang Sun

This study explores the innovative use of Large Language Models (LLMs) as analytical tools for interpreting complex financial regulations. The primary objective is to design effective prompts that guide LLMs in distilling verbose and…

风险管理 · 定量金融 2024-07-11 Zhiyu Cao , Zachary Feinstein

Large language models (LLMs) have demonstrated great potential for domain-specific applications, such as the law domain. However, recent disputes over GPT-4's law evaluation raise questions concerning their performance in real-world legal…

计算与语言 · 计算机科学 2023-10-19 Ruihao Shui , Yixin Cao , Xiang Wang , Tat-Seng Chua

Recent regulatory initiatives like the European AI Act and relevant voices in the Machine Learning (ML) community stress the need to describe datasets along several key dimensions for trustworthy AI, such as the provenance processes and…

数字图书馆 · 计算机科学 2024-05-27 Joan Giner-Miguelez , Abel Gómez , Jordi Cabot

The proliferation of Large Language Models (LLMs) has demonstrated remarkable capabilities, elevating the critical importance of LLM safety. However, existing safety methods rely on ad-hoc taxonomy and lack a rigorous, systematic…

计算与语言 · 计算机科学 2025-09-29 Wenbin Hu , Huihao Jing , Haochen Shi , Haoran Li , Yangqiu Song

The legal landscape encompasses a wide array of lawsuit types, presenting lawyers with challenges in delivering timely and accurate information to clients, particularly concerning critical aspects like potential imprisonment duration or…

人工智能 · 计算机科学 2024-07-30 Jia-Hong Huang , Chao-Chun Yang , Yixian Shen , Alessio M. Pacces , Evangelos Kanoulas

With the advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), there is a profound transformation occurring in the realm of natural language processing tasks within the legal domain. The capabilities of LLMs are…

计算与语言 · 计算机科学 2024-04-02 Weicong Qin , Zhongxiang Sun

The manual, resource-intensive process of complying with the EU Taxonomy presents a significant challenge for companies. While Large Language Models (LLMs) offer a path to automation, research is hindered by a lack of public benchmark…

计算与语言 · 计算机科学 2026-01-01 Jonathan Schmoll , Adam Jatowt

Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs) such as GPT and BERT have evolved significantly, impacting various industries with their advanced capabilities in language understanding and…

计算与语言 · 计算机科学 2024-05-30 Yining Huang , Keke Tang , Meilian Chen , Boyuan Wang
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