44 citations · 45 across the 6 of their papers we have counts for
6 papers
Transparent Screening for LLM Inference and Training Impacts
Arnault Pachot, Thierry Petit
This paper presents a transparent screening framework for estimating inference and training impacts of current large language models under limited observability. The framework conv…
Exact Synthetic Populations for Scalable Societal and Market Modeling
Thierry Petit, Arnault Pachot
We introduce a constraint-programming framework for generating synthetic populations that reproduce target statistics with high precision while enforcing full individual consistenc…
Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data
Enzo Sinacola, Arnault Pachot, Thierry Petit
Large Language Models (LLMs) offer a promising alternative to traditional survey methods, potentially enhancing efficiency and reducing costs. In this study, we use LLMs to create…
Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics
Thierry Petit, Arnault Pachot, Claire Conan-Vrinat +1
This article introduces an innovative architecture designed to declaratively combine Large Language Models (LLMs) with shared histories, and triggers to identify the most appropria…
Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues
Arnault Pachot, Céline Patissier
Artificial Intelligence (AI) is used to create more sustainable production methods and model climate change, making it a valuable tool in the fight against environmental degradatio…
Decision support system for distributed manufacturing based on input-output analysis and economic complexity
Arnault Pachot, Adélaïde Albouy-Kissi, Benjamin Albouy-Kissi +1
The disruption of supplies during the Covid-19 crisis has led to shortages but has also shown the adaptability of some companies, which have succeeded in adapting their production…