3 papers
cs.LG2026
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…
stat.ML2025
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…
cs.HC2025
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…