Authors: Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, Andre F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa

Published on: March 06, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2403.03883

Summary

• What is new: SaulLM-7B is the first large language model specifically designed for the legal domain with 7 billion parameters.
• Why this is important: Existing language models lack the specialized understanding required for legal text comprehension and generation.
• What the research proposes: SaulLM-7B leverages the Mistral 7B architecture and is trained on over 30 billion tokens of English legal text, alongside a novel instructional fine-tuning method using legal datasets.
• Results: Demonstrates state-of-the-art performance in legal document comprehension and processing.

Technical Details

Technological frameworks used: Mistral 7B

Models used: SaulLM-7B

Data used: English legal corpus of over 30 billion tokens

Potential Impact

Legal services, legal tech companies, and platforms providing legal document assistance could be significantly disrupted or benefit.

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