most citedLegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

28 citations · 41 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL20241 cited

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset

Santosh T. Y. S. S, Nina Baumgartner, Matthias Stürmer +2

The assessment of explainability in Legal Judgement Prediction (LJP) systems is of paramount importance in building trustworthy and transparent systems, particularly considering th…

cs.CL20243 cited

LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text

Dor Bernsohn, Gil Semo, Yaron Vazana +5

In this study, we focus on two main tasks, the first for detecting legal violations within unstructured textual data, and the second for associating these violations with potential…

cs.CL20232 cited

Automatic Anonymization of Swiss Federal Supreme Court Rulings

Joel Niklaus, Robin Mamié, Matthias Stürmer +2

Releasing court decisions to the public relies on proper anonymization to protect all involved parties, where necessary. The Swiss Federal Supreme Court relies on an existing syste…

cs.CL20232 cited

Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents

Ramona Christen, Anastassia Shaitarova, Matthias Stürmer +1

Resolving the scope of a negation within a sentence is a challenging NLP task. The complexity of legal texts and the lack of annotated in-domain negation corpora pose challenges fo…

cs.CL202328 cited

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Neel Guha, Julian Nyarko, Daniel E. Ho +37

The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform? To enable great…

cs.CL20235 cited

MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset

Tobias Brugger, Matthias Stürmer, Joel Niklaus

Sentence Boundary Detection (SBD) is one of the foundational building blocks of Natural Language Processing (NLP), with incorrectly split sentences heavily influencing the output q…