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LLaMandement: Large Language Models for Summarization of French Legislative Proposals

Authors :
Gesnouin, Joseph
Tannier, Yannis
Da Silva, Christophe Gomes
Tapory, Hatim
Brier, Camille
Simon, Hugo
Rozenberg, Raphael
Woehrel, Hermann
Yakaabi, Mehdi El
Binder, Thomas
Marie, Guillaume
Caron, Emilie
Nogueira, Mathile
Fontas, Thomas
Puydebois, Laure
Theophile, Marie
Morandi, Stephane
Petit, Mael
Creissac, David
Ennouchy, Pauline
Valetoux, Elise
Visade, Celine
Balloux, Severine
Cortes, Emmanuel
Devineau, Pierre-Etienne
Tan, Ulrich
Mac Namara, Esther
Yang, Su
Publication Year :
2024

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.<br />Comment: 21 pages, 9 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2401.16182
Document Type :
Working Paper