Do we Name the Languages we Study? The #BenderRule in LREC and ACL articles. - Fanny Ducel; Karën Fort; Gaël Lejeune; Yves Lepage (LREC, 2022)

Langues par défaut? Analyse contrastive et diachronique des langues non citées dans les articles de TALN et d'ACL (Contrastive and diachronic study of unmentioned (by default ?) languages in TALN and ACL We study the application of the #BenderRule in natural language processing articles, taking into account a contrastive and a diachronic dimensions, by examining the proceedings of two NLP conferences, TALN and ACL, over time). - Fanny Ducel; Karën Fort; Gaël Lejeune; Yves Lepage (TALN-RECITAL, 2022)

The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research. - Mohamed Abdalla 001; Jan Philip Wahle; Terry Lima Ruas; Aurélie Névéol; Fanny Ducel; Saif M. Mohammad; Karën Fort (ACL (1), 2023)

Your Stereotypical Mileage May Vary: Practical Challenges of Evaluating Biases in Multiple Languages and Cultural Contexts. - Karën Fort; Laura Alonso Alemany; Luciana Benotti; Julien Bezançon; Claudia Borg; Marthese Borg; Yongjian Chen; Fanny Ducel; Yoann Dupont; Guido Ivetta; Zhijian Li; Margot Mieskes; et al. (LREC/COLING, 2024)

Évaluation automatique des biais de genre dans des modèles de langue auto-régressifs. - Fanny Ducel; Aurélie Névéol; Karën Fort (TALN (1), 2024)

"Women do not have heart attacks!" Gender Biases in Automatically Generated Clinical Cases in French. - Fanny Ducel; Nicolas Hiebel; Olivier Ferret; Karën Fort; Aurélie Névéol (NAACL (Findings), 2025)

"You'll be a nurse, my son!" Automatically assessing gender biases in autoregressive language models in French and Italian. - Fanny Ducel; Aurélie Névéol; Karën Fort (Lang. Resour. Evaluation, 2025)