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Found 16 papers, 12 papers with code
FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning
In this work, we curate LawInstruct, a large legal instruction dataset, covering 17 jurisdictions, 24 languages and a total of 12M examples.
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset
The assessment of explainability in Legal Judgement Prediction (LJP) systems is of paramount importance in building trustworthy and transparent systems, particularly considering the reliance of these systems on factors that may lack legal relevance or involve sensitive attributes.
LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text
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 potentially affected individuals.
Automatic Anonymization of Swiss Federal Supreme Court Rulings
Releasing court decisions to the public relies on proper anonymization to protect all involved parties, where necessary.
Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents
Resolving the scope of a negation within a sentence is a challenging NLP task.
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models
Anonymity of both natural and legal persons in court rulings is a critical aspect of privacy protection in the European Union and Switzerland.
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
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?
SCALE: Scaling up the Complexity for Advanced Language Model Evaluation
In this paper, we introduce a novel NLP benchmark that poses challenges to current LLMs across four key dimensions: processing long documents (up to 50K tokens), utilizing domain specific knowledge (embodied in legal texts), multilingual understanding (covering five languages), and multitasking (comprising legal document to document Information Retrieval, Court View Generation, Leading Decision Summarization, Citation Extraction, and eight challenging Text Classification tasks).
MultiLegalPile: A 689GB Multilingual Legal Corpus
Large, high-quality datasets are crucial for training Large Language Models (LLMs).
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset
Sentence Boundary Detection (SBD) is one of the foundational building blocks of Natural Language Processing (NLP), with incorrectly split sentences heavily influencing the output quality of downstream tasks.
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
To provide a fair comparison, we propose two aggregate scores, one based on the datasets and one on the languages.
BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?
In specialized domains though (such as legal, scientific or biomedical), models often need to process very long text (sometimes well above 10000 tokens).
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US
The research field of Legal Natural Language Processing (NLP) has been very active recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively studied tasks.
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
We find that in both settings (legal areas, origin regions), models trained across all groups perform overall better, while they also have improved results in the worst-case scenarios.
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
We evaluate state-of-the-art BERT-based methods including two variants of BERT that overcome the BERT input (text) length limitation (up to 512 tokens).
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
Jass is a very popular card game in Switzerland and is closely connected with Swiss culture.
