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相关论文: Large Language Models Meet Legal Artificial Intell…

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Natural Language Processing (NLP) is revolutionising the way both professionals and laypersons operate in the legal field. The considerable potential for NLP in the legal sector, especially in developing computational assistance tools for…

计算与语言 · 计算机科学 2025-12-12 Farid Ariai , Joel Mackenzie , Gianluca Demartini

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase…

人机交互 · 计算机科学 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

Large language models (LLMs) have made significant progress in natural language processing tasks and demonstrate considerable potential in the legal domain. However, legal applications demand high standards of accuracy, reliability, and…

计算与语言 · 计算机科学 2024-11-27 Haitao Li , You Chen , Qingyao Ai , Yueyue Wu , Ruizhe Zhang , Yiqun Liu

The rapid development of Large Language Models (LLMs) demonstrates remarkable multilingual capabilities in natural language processing, attracting global attention in both academia and industry. To mitigate potential discrimination and…

A framework is proposed that seeks to identify and establish a set of robust autonomous levels articulating the realm of Artificial Intelligence and Legal Reasoning (AILR). Doing so provides a sound and parsimonious basis for being able to…

计算机与社会 · 计算机科学 2020-08-18 Lance Eliot

The rapid advancement of large language models (LLMs) has redefined artificial intelligence (AI), pushing the boundaries of AI research and enabling unbounded possibilities for both academia and the industry. However, LLM development faces…

软件工程 · 计算机科学 2025-07-01 Hongzhou Rao , Yanjie Zhao , Xinyi Hou , Shenao Wang , Haoyu Wang

Legal research is a crucial task in the practice of law. It requires intense human effort and intellectual prudence to research a legal case and prepare arguments. Recent boom in generative AI has not translated to proportionate rise in…

人机交互 · 计算机科学 2024-03-19 Sudipto Ghosh , Devanshu Verma , Balaji Ganesan , Purnima Bindal , Vikas Kumar , Vasudha Bhatnagar

Recent advances in large language models (LLMs) have led to substantial progress in domain-specific applications, particularly within the legal domain. However, general-purpose models such as GPT-4 often struggle with specialized subdomains…

人工智能 · 计算机科学 2026-01-16 Zixun Lan , Maochun Xu , Yifan Ren , Rui Wu , Jianghui Zhou , Xueyang Cheng , Jianan Ding Ding , Xinheng Wang , Mingmin Chi , Fei Ma

The era of intelligent agents is upon us, driven by revolutionary advancements in large language models. Large Language Model (LLM) agents, with goal-driven behaviors and dynamic adaptation capabilities, potentially represent a critical…

Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding and language generation, and thus have the potential to make a substantial impact on our society. Such…

计算与语言 · 计算机科学 2024-05-24 Zhongwei Wan , Xin Wang , Che Liu , Samiul Alam , Yu Zheng , Jiachen Liu , Zhongnan Qu , Shen Yan , Yi Zhu , Quanlu Zhang , Mosharaf Chowdhury , Mi Zhang

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are artificial entities that sense their environment,…

In recent years, thanks to breakthroughs in neural network techniques especially attentive deep learning models, natural language processing has made many impressive achievements. However, automated legal word processing is still a…

计算与语言 · 计算机科学 2022-03-17 Ha-Thanh Nguyen

Large Language Models (LLMs), like LLaMA, have exhibited remarkable performance across various tasks. Nevertheless, when deployed to specific domains such as law or medicine, the models still confront the challenge of a deficiency in…

计算与语言 · 计算机科学 2023-10-17 Quzhe Huang , Mingxu Tao , Chen Zhang , Zhenwei An , Cong Jiang , Zhibin Chen , Zirui Wu , Yansong Feng

Large Language Models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering. Nowadays, LLM is becoming a very popular…

计算与语言 · 计算机科学 2024-11-18 Badhan Chandra Das , M. Hadi Amini , Yanzhao Wu

A Large Language Model (LLM) represents a cutting-edge artificial intelligence model that generates coherent content, including grammatically precise sentences, human-like paragraphs, and syntactically accurate code snippets. LLMs can play…

软件工程 · 计算机科学 2023-12-11 Robson Santos , Italo Santos , Cleyton Magalhaes , Ronnie de Souza Santos

Artificial Intelligence have profoundly transformed the technological landscape in recent years. Large Language Models (LLMs) have demonstrated impressive abilities in reasoning, text comprehension, contextual pattern recognition, and…

计算机视觉与模式识别 · 计算机科学 2025-09-30 Efthymios Tsaprazlis , Tiantian Feng , Anil Ramakrishna , Rahul Gupta , Shrikanth Narayanan

This study evaluates the machine translation (MT) quality of two state-of-the-art large language models (LLMs) against a tradition-al neural machine translation (NMT) system across four language pairs in the legal domain. It combines…

计算与语言 · 计算机科学 2024-02-13 Vicent Briva-Iglesias , Joao Lucas Cavalheiro Camargo , Gokhan Dogru

Autonomous agents have long been a prominent research focus in both academic and industry communities. Previous research in this field often focuses on training agents with limited knowledge within isolated environments, which diverges…

Large language models (LLMs) are increasingly capable of providing users with advice in a wide range of professional domains, including legal advice. However, relying on LLMs for legal queries raises concerns due to the significant…

计算机与社会 · 计算机科学 2025-06-13 Inyoung Cheong , King Xia , K. J. Kevin Feng , Quan Ze Chen , Amy X. Zhang

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI). Thus, researchers have dedicated significant effort to diverse implementations for them. Benefiting from recent progress in large language models…