Short Bio
I am a postdoc researcher at INRIA Saclay (French National Institute for Research in Digital Science and Technology) in the CEDAR team with Oana Balalau and Davide Ceolin (Centrum Wiskunde & Informatica, Amsterdam).
I obtained my PhD in Computer Science from the Jean Monnet University in 2025. I conducted it at the Hubert Curien Laboratory under the supervision of Antoine Gourru, Charlotte Laclau and Christophe Gravier.
My research is mainly oriented towards Machine Learning and Natural Language Processing, with a particular focus on the study and mitigation of bias in Large Language Models.
Publications
- Fair Text Classification via Transferable Representations,
T. Leteno, M. Perrot, C. Laclau, A. Gourru, C. Gravier,
Journal of Machine Learning Research (JMLR), 2025. [paper]
- HistoiresMorales: Un jeu de données français pour évaluer l’alignement moral des modèles de langage,
T. Leteno, I. Proskurina et al.,
32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN).
[paper]
- HistoiresMorales: A French Dataset for Assessing Moral Alignment,
T. Leteno, I. Proskurina et al.,
Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025. [paper]
- Fair Text Classification with Wasserstein Independence,
T. Leteno, A. Gourru, C. Laclau, R. Emonet, C. Gravier,
Empirical Methods in Natural Language Processing (EMNLP), 2023. [paper]
- An investigation of structures responsible for gender bias in BERT and DistilBERT,
T. Leteno, A. Gourru, C. Laclau, C. Gravier,
Symposium on Intelligent Data Analysis (IDA), 2023. [paper]
Scientific communications
- Seminar - Centrum Wiskunde & Informatica Amsterdam, November 2025
Fair Text Classification with Wasserstein Independence Constraints
- Seminar - Hubert Curien Laboratory, April 2025
HistoiresMorales: A French Dataset for Assessing Moral Alignment
- Talk at TextMine24, National Days on Data Mining [website], June 2024
Fair Text Classification with Wasserstein Independence
- Seminar - Hubert Curien Laboratory, June 2023
Fair Text Classification with Wasserstein Independence
- Article presentations at the National French Reading Group on NLP, 2022-2025.
Teaching
- Introduction to programmation - Bachelor 1
Faculty Of Science of Saint-Etienne, 2022, 2023 & 2024
- Data Analysis - Bachelor 2
Telecom Saint-Etienne, Engineer school, 2023, 2024 & 2025
- Machine Learning Fundamentals - Master 1
Faculty Of Science of Saint-Etienne, 2023, 2024 & 2025
Co-responsible of the course.
- Machine Learning for Sequential Data - 3rd year
Engineering School (Master 3)
Telecom Saint-Etienne, Engineer school, 2024 & 2025
Co-responsible of the course.
Course material
Organizational roles
- Member of the organization and program committees of the 2025 Workshop on the Ethic and Alignment of (Large) Language Models (EALM2025@CORIA-TALN 2025)
- PhD Student representative for the Hubert Curien Laboratory (2023-2025)
Computer Science Federation of Lyon (Fédération Informatique de Lyon - FIL)
- Co-organiser of the Deep Learning reading group (2023-2024)
Hubert Curien Laboratory
