Masked ELMo: An evolution of ELMo towards fully contextual RNN language models. - Grégory Senay; Emmanuelle Salin (CoRR, 2020)

Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective. - Emmanuelle Salin; Badreddine Farah; Stéphane Ayache; Benoît Favre (AAAI, 2022)

Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies? - Mitja Nikolaus; Emmanuelle Salin; Stéphane Ayache; Abdellah Fourtassi; Benoît Favre (EMNLP, 2022)

Towards an Exhaustive Evaluation of Vision-Language Foundation Models. - Emmanuelle Salin; Stéphane Ayache; Benoît Favre (ICCV (Workshops), 2023)

Study of the multimodal understanding of vision-language transformer models. (Étude de la compréhension multimodale des modèles transformeurs vision-langage). - Emmanuelle Salin (2023)

Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer. - Tatiana Merzhevich; Alexandros Tanzanakis; Emmanuelle Salin; Claudia Quiering; Christoph F. Kurz; Benjamin Gmeiner; Bjoern M. Eskofier (AIME (2), 2025)