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

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.
View on arXivComments on this paper