LLaMandement: Large Language Models for Summarization of French Legislative Proposals
Abstract
This report introduces LLaMandement, a state-of-the-art Large Language Model, fine-tuned by the French government and designed to enhance the efficiency and efficacy of processing parliamentary sessions (including the production of bench memoranda and documents required for interministerial meetings) by generating neutral summaries of legislative proposals. Addressing the administrative challenges of manually processing a growing volume of legislative amendments, LLaMandement stands as a significant legal technological milestone, providing a solution that exceeds the scalability of traditional human efforts while matching the robustness of a specialized legal drafter. We release all our fine-tuned models and training data to the community.
Keywords
Cite
@article{arxiv.2401.16182,
title = {LLaMandement: Large Language Models for Summarization of French Legislative Proposals},
author = {Joseph Gesnouin and Yannis Tannier and Christophe Gomes Da Silva and Hatim Tapory and Camille Brier and Hugo Simon and Raphael Rozenberg and Hermann Woehrel and Mehdi El Yakaabi and Thomas Binder and Guillaume Marie and Emilie Caron and Mathile Nogueira and Thomas Fontas and Laure Puydebois and Marie Theophile and Stephane Morandi and Mael Petit and David Creissac and Pauline Ennouchy and Elise Valetoux and Celine Visade and Severine Balloux and Emmanuel Cortes and Pierre-Etienne Devineau and Ulrich Tan and Esther Mac Namara and Su Yang},
journal= {arXiv preprint arXiv:2401.16182},
year = {2024}
}
Comments
21 pages, 9 figures