Hippolyte Gisserot-Boukhlef
PhD Candidate in AI & Research Scientist

I am a second-year PhD student in artificial intelligence at CentraleSupélec, Université Paris-Saclay, conducting research in collaboration with the Artefact Research Center through a CIFRE partnership.
In today’s rapidly evolving NLP landscape, where generative models often fall short of addressing all challenges and remain highly resource-intensive, my research centers on the role of embeddings and effective representation learning. I investigate the entire pipeline, from pretraining strategies to downstream evaluation, with the aim of identifying the key factors that truly drive model performance.
Feel free to explore my website to learn more about my research, publications, and ongoing projects. Don’t hesitate to get in touch!
news
Jul 08, 2025 | Our paper, EuroBERT: Scaling Multilingual Encoders for European Languages is accepted to COLM 2025. |
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Jul 02, 2025 | We release Should We Still Pretrain Encoders with Masked Language Modeling?, a large-scale study comparing causal and bidirectional pretraining objectives for text representation learning. |
Jun 23, 2025 | EuroBERT is nominated for the 2025 Datacraft Awards in the AI and Society category. |