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Jurisprudence

3260 papers • 126 benchmarks • 313 datasets

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Scaling Language Models: Methods, Analysis & Insights from Training Gopher

A. Mensch, Katie Millican, Roman Ring, Eliza Rutherford, Jacob Menick, Sebastian Borgeaud, Aida Nematzadeh, O. Vinyals, K. Simonyan, Yujia Li, Igor Babuschkin, Po-Sen Huang, Johannes Welbl, K. Kavukcuoglu, D. Hassabis, James Bradbury, Chris Dyer, L. Sifre, George van den Driessche, Erich Elsen, D. Budden, G. Irving, Laura Weidinger, Maribeth Rauh, Iason Gabriel, William S. Isaac, Saffron Huang, Lisa Anne Hendricks, I. Higgins, Diego de Las Casas, Jack W. Rae, Siddhant M. Jayakumar, Xiang Lorraine Li, Francis Song, Cyprien de Masson d'Autume, Amy Wu, Angeliki Lazaridou, A. Kuncoro, Michela Paganini, Trevor Cai, Jordan Hoffmann, John Aslanides, Sarah Henderson, Susannah Young, Tom Hennigan, Albin Cassirer, Richard Powell, Amelia Glaese, Sumanth Dathathri, Jonathan Uesato, John F. J. Mellor, Antonia Creswell, Nat McAleese, Elena Buchatskaya, Esme Sutherland, Lena Martens, E. Gribovskaya, Domenic Donato, Jean-Baptiste Lespiau, M. Tsimpoukelli, N. Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Tobias Pohlen, Z. Gong, Daniel Toyama, Tayfun Terzi, Vladimir Mikulik, Aidan Clark, Aurelia Guy, Chris Jones, Matthew G. Johnson, Blake A. Hechtman, Edward Lockhart, Simon Osindero, Laura Rimell, Kareem W. Ayoub, J. Stanway, L. Bennett

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Introduction Benchmarks Datasets Subtasks Libraries Papers

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Tue Dec 07 2021

This paper presents an analysis of Transformer-based language model performance across a wide range of model scales -- from models with tens of millions of parameters up to a 280 billion parameter model called Gopher.

1527 0

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Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Zihan Li, Yanghua Xiao, Qi He, Rui Xu, Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Sihang Jiang, Zhuozhi Xiong, Wenhao Huang, Weiguo Zheng, Hongwei Feng•Thu Jun 08 2023

Evaluation of the 47 cutting-edge LLMs on Xiezhi indicates that LLMs exceed average performance of humans in science, engineering, agronomy, medicine, and art, but fall short in economics, jurisprudence, pedagogy, literature, history, and management.

77 0

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Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement

Rosamond Thalken, Edward H. Stiglitz, David M. Mimno, Matthew Wilkens•Thu Oct 26 2023

A highly complex task that is challenging even for humans: the classification of legal reasoning according to jurisprudential philosophy is considered, and it is found that generative models perform poorly when given instructions equal to the instructions presented to human annotators through the codebook.

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Prospects for inconsistency detection using large language models and sheaves

Steve Huntsman, Michael Robinson, Ludmilla Huntsman•Mon Jan 29 2024

It is demonstrated that large language models can produce reasonable numerical ratings of the logical consistency of claims, and a mathematical approach based on sheaf theory for lifting such ratings to hypertexts such as laws, jurisprudence, and social media and evaluating their consistency globally is outlined.

12 0

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Jurisprudence | State-of-the-Art