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相关论文: Large Language Models in Legislative Content Analy…

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As multiple crises threaten the sustainability of our societies and pose at risk the planetary boundaries, complex challenges require timely, updated, and usable information. Natural-language processing (NLP) tools enhance and expand data…

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 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

Business Process Management (BPM) aims to improve organizational activities and their outcomes by managing the underlying processes. To achieve this, it is often necessary to consider information from various sources, including unstructured…

计算与语言 · 计算机科学 2023-07-20 Michael Grohs , Luka Abb , Nourhan Elsayed , Jana-Rebecca Rehse

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

Large Language Models (LLMs) play a central role in modern artificial intelligence, yet their development has been primarily focused on English, resulting in limited support for other languages. We present PLLuM (Polish Large Language…

计算与语言 · 计算机科学 2025-11-07 Jan Kocoń , Maciej Piasecki , Arkadiusz Janz , Teddy Ferdinan , Łukasz Radliński , Bartłomiej Koptyra , Marcin Oleksy , Stanisław Woźniak , Paweł Walkowiak , Konrad Wojtasik , Julia Moska , Tomasz Naskręt , Bartosz Walkowiak , Mateusz Gniewkowski , Kamil Szyc , Dawid Motyka , Dawid Banach , Jonatan Dalasiński , Ewa Rudnicka , Bartłomiej Alberski , Tomasz Walkowiak , Aleksander Szczęsny , Maciej Markiewicz , Tomasz Bernaś , Hubert Mazur , Kamil Żyta , Mateusz Tykierko , Grzegorz Chodak , Tomasz Kajdanowicz , Przemysław Kazienko , Agnieszka Karlińska , Karolina Seweryn , Anna Kołos , Maciej Chrabąszcz , Katarzyna Lorenc , Aleksandra Krasnodębska , Artur Wilczek , Katarzyna Dziewulska , Paula Betscher , Zofia Cieślińska , Katarzyna Kowol , Daria Mikoś , Maciej Trzciński , Dawid Krutul , Marek Kozłowski , Sławomir Dadas , Rafał Poświata , Michał Perełkiewicz , Małgorzata Grębowiec , Maciej Kazuła , Marcin Białas , Roman Roszko , Danuta Roszko , Jurgita Vaičenonienė , Andrius Utka , Paweł Levchuk , Paweł Kowalski , Irena Prawdzic-Jankowska , Maciej Ogrodniczuk , Monika Borys , Anna Bulińska , Wiktoria Gumienna , Witold Kieraś , Dorota Komosińska , Katarzyna Krasnowska-Kieraś , Łukasz Kobyliński , Martyna Lewandowska , Marek Łaziński , Mikołaj Łątkowski , Dawid Mastalerz , Beata Milewicz , Agnieszka Anna Mykowiecka , Angelika Peljak-Łapińska , Sandra Penno , Zuzanna Przybysz , Michał Rudolf , Piotr Rybak , Karolina Saputa , Aleksandra Tomaszewska , Aleksander Wawer , Marcin Woliński , Joanna Wołoszyn , Alina Wróblewska , Bartosz Żuk , Filip Żarnecki , Konrad Kaczyński , Anna Cichosz , Zuzanna Deckert , Monika Garnys , Izabela Grabarczyk , Wojciech Janowski , Sylwia Karasińska , Aleksandra Kujawiak , Piotr Misztela , Maria Szymańska , Karolina Walkusz , Igor Siek , Jakub Kwiatkowski , Piotr Pęzik

The number and dynamic nature of web and mobile applications presents significant challenges for assessing their compliance with data protection laws. In this context, symbolic and statistical Natural Language Processing (NLP) techniques…

计算与语言 · 计算机科学 2025-12-22 David Rodriguez , Ian Yang , Jose M. Del Alamo , Norman Sadeh

Encoding legislative text in a formal representation is an important prerequisite to different tasks in the field of AI & Law. For example, rule-based expert systems focused on legislation can support laypeople in understanding how…

计算与语言 · 计算机科学 2023-11-10 Samyar Janatian , Hannes Westermann , Jinzhe Tan , Jaromir Savelka , Karim Benyekhlef

Selectively processing noisy utterances while effectively disregarding speech-specific elements poses no considerable challenge for humans, as they exhibit remarkable cognitive abilities to separate semantically significant content from…

计算与语言 · 计算机科学 2024-10-08 Alina Wróblewska

Language models serve as a cornerstone in natural language processing (NLP), utilizing mathematical methods to generalize language laws and knowledge for prediction and generation. Over extensive research spanning decades, language modeling…

计算与语言 · 计算机科学 2024-09-24 Zichong Wang , Zhibo Chu , Thang Viet Doan , Shiwen Ni , Min Yang , Wenbin Zhang

Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. These models far exceed the complexity of conventional neural…

机器学习 · 计算机科学 2024-12-05 Minghao Shao , Abdul Basit , Ramesh Karri , Muhammad Shafique

Making legal knowledge accessible to non-experts is crucial for enhancing general legal literacy and encouraging civic participation in democracy. However, legal documents are often challenging to understand for people without legal…

The analysis of public affairs documents is crucial for citizens as it promotes transparency, accountability, and informed decision-making. It allows citizens to understand government policies, participate in public discourse, and hold…

Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become a highly sought-after research area, because of their…

数字图书馆 · 计算机科学 2023-04-06 Lizhou Fan , Lingyao Li , Zihui Ma , Sanggyu Lee , Huizi Yu , Libby Hemphill

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 achieved remarkable success in general-domain tasks, yet their direct application to the legal domain remains challenging due to hallucinated legal citations, incomplete knowledge coverage, and weak…

计算与语言 · 计算机科学 2026-04-21 Yuting Huang , Yinghao Hu , Qian Xiao , Wenlin Zhong , Yiquan Wu , Taishi Zhou , Moke Chen , Changlong Sun , Kun Kuang , Fei Wu

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…

Large language models (LLMs) are becoming increasingly proficient in processing and generating multilingual texts, which allows them to address real-world problems more effectively. However, language understanding is a far more complex…

计算与语言 · 计算机科学 2025-03-04 Sławomir Dadas , Małgorzata Grębowiec , Michał Perełkiewicz , Rafał Poświata

Large Language Models (LLMs) have gained significant attention due to their high performance on a wide range of natural language tasks since the release of ChatGPT. The LLMs learn to understand and generate language by training billions of…

计算与语言 · 计算机科学 2024-08-29 Wazir Ali , Sampo Pyysalo

Large Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical…

计算与语言 · 计算机科学 2024-09-24 Jinqiang Wang , Huansheng Ning , Yi Peng , Qikai Wei , Daniel Tesfai , Wenwei Mao , Tao Zhu , Runhe Huang
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