Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applications

27 November 2023

Papers citing "Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applications"

7 / 7 papers shown

Title
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 222 495 0 28 Sep 2022
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts Joel Jang Seonghyeon Ye Minjoon Seo ELM LRM 74 64 0 26 Sep 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 81 26 0 14 Sep 2022
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task G. Rosa L. Bonifacio Vitor Jeronymo Hugo Queiroz Abonizio R. Lotufo Rodrigo Nogueira AILaw ELM 23 10 0 30 May 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019