Jurisprudence
6 papers with code • 1 benchmarks • 1 datasets
Most implemented papers
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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
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
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
We demonstrate that large language models can produce reasonable numerical ratings of the logical consistency of claims.
Citation-Based Summarization of Landmark Judgments
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
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.