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
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.