Summary of Llamandement: Large Language Models For Summarization Of French Legislative Proposals, by Joseph Gesnouin et al.

LLaMandement: Large Language Models for Summarization of French Legislative Proposals

by 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

First submitted to arxiv on: 29 Jan 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary This AI research paper introduces LLaMandement, a Large Language Model fine-tuned by the French government for processing parliamentary sessions. The model generates neutral summaries of legislative proposals, improving efficiency and efficacy. It addresses administrative challenges by scaling up traditional human efforts while matching the robustness of specialized legal drafters. The authors release their fine-tuned models and training data to the community.
Low	GrooveSquid.com (original content)	Low Difficulty Summary LLaMandement is a special AI tool that helps with government work. It takes a lot of time for people to read and summarize important documents, but LLaMandement can do it much faster and better than humans. This means government workers can focus on other things. The team who made this AI gave all their work to the community so others can use it too.