Short Bio
I'm a PhD student in Machine Learning within the Hubert Curien Laboratory (Jean Monnet University, Saint-Étienne) 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. More recently, I also investigated the alignment of those models with human values.
My PhD is funded by the French National Research Agency (ANR) in the context of the DIKE project.
I am looking for a postdoctoral position in the domains of Machine Learning fairness, reliable and responsible NLP, interpretable NLP.
Preprints / Under Review
- Fair Text Classification via Transferable Representations,
T. Leteno, M. Perrot, C. Laclau, A. Gourru, C. Gravier [preprint]
Publications
- 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, 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 - 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
- Multiple 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, 2022, 2023 & 2024
- Machine Learning Fundamentals - Master 1
Faculty Of Science of Saint-Etienne, 2022, 2023 & 2024
Co-responsible of the course.
- Machine Learning for Sequential Data - 3rd year
Engineering School (Master 3)
Telecom Saint-Etienne, Engineer school, 2023 & 2024
Co-responsible of the course.
Organizational roles
- Member of the organization and program committees of the 2025 Workshop on the Ethic and Alignment of (Large) Language Models (EALM2025)
- PhD Student representative for the Hubert Curien Laboratory
Computer Science Federation of Lyon (Fédération Informatique de Lyon - FIL)
- Co-organiser of the Deep Learning reading group
Hubert Curien Laboratory
