Jurisprudence

6 papers with code • 1 benchmarks • 1 datasets

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Datasets


Most implemented papers

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

allenai/dolma NA 2021

Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.

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

mikegu721/xiezhibenchmark 9 Jun 2023

New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs).

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

rosthalken/legal-interpretation 27 Oct 2023

Our findings generally sound a note of caution in the use of generative LMs on complex tasks without fine-tuning and point to the continued relevance of human annotation-intensive classification methods.

Prospects for inconsistency detection using large language models and sheaves

stevehuntsman/prospectsforinconsistencydetection 30 Jan 2024

We demonstrate that large language models can produce reasonable numerical ratings of the logical consistency of claims.

Citation-Based Summarization of Landmark Judgments

PurnimaBindal/LegalTextSummarization 16 Jun 2024

Landmark judgments are of prime importance in the Common Law System because of their exceptional jurisprudence and frequent references in other judgments.

FairGLVQ: Fairness in Partition-Based Classification

felix-st/fairglvq 16 Oct 2024

The contribution of this work is twofold: 1) we develop a general framework for fair machine learning of partition-based models that does not depend on a specific fairness definition, and 2) we derive a fair version of learning vector quantization (LVQ) as a specific instantiation.