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LLaMandement: Large Language Models for Summarization of French Legislative Proposals

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arxiv 2401.16182 v1 pith:2ZOSSMPY submitted 2024-01-29 cs.CL cs.AI

classification cs.CLcs.AI
keywords legislativellamandementfine-tunedfrenchlanguagelargelegalmodels
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

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  1. Political-LLM: Large Language Models in Political Science

    cs.CL 2024-12 conditional novelty 5.0 of 10

    A survey and taxonomy of LLM applications in political science, with a case study suggesting that larger LLMs reproduce ANES 2016 voting patterns more accurately than smaller ones.

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