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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Blog Post 1
Mis à jour :
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Comment mesurer les biais politiques des grands modèles de langue multilingues?
Published in TALN (EALM workshop), 2025
Paper - Position paper on political bias in multilingual models.
Recommended citation: Lequeu, P. A., Labat, L., Cave, L., Lejeune, G., Yvon, F., & Piwowarski, B. (2026). The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations. arXiv preprint arXiv:2601.14944.
Fairbeat: Assessing and Mitigating Bias with the Composite Balance Score
Published in ECML-PKKD (Demo Track), 2025
Proceedings - A user interface for social bias evaluation in tabular datasets.
Recommended citation: Lequeu, P. A., Lagraa, S., Robin, G., & Ouedraogo, M. (2025, September). Fairbeat: Assessing and Mitigating Bias with the Composite Balance Score. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 475-480). Cham: Springer Nature Switzerland.
Download Paper | Download Bibtex
The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations
Published in ACL, 2026
Preprint - We introduce Corpus Clarification, a preprocessing framework of citizens consultation data which allow for ethical downstream analysis. We share a manually-annotated dataset based on the 2019 French consultation ‘Grand Débat National’, and a large automatically annotated dataset using SLMs finetuned for the task.
Recommended citation: Lequeu, P. A., Labat, L., Cave, L., Lejeune, G., Yvon, F., & Piwowarski, B. (2026). The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations. arXiv preprint arXiv:2601.14944.
Download Paper | Download Bibtex
talks
Grounding Synthesis in Human Votes: Improving Sparse Matrix Completion for Opinion Selection in Large-Scale Consultations
Mis à jour :
Invited by the ParliView research team @ UC Dublin.
teaching
Teaching 2024-2025
Grad & Undergrad, Sorbonne University, 2024
Introduction to Programming (1st-year bachelor), Introduction to Relational Databases (2nd-year bachelor), Industrial Project (1st-year master)
Teaching 2025-2026
Grad & Undergrad, Sorbonne University, 2025
Data Science (1st-year bachelor), Deep Learning (2nd-year Master)