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Fanny Jourdan

Fanny Jourdan has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Interpretability; often with Celine Hudelot, André F. T. Martins, Caio Corro.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 21 works · 21 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 39 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8310

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬IRT Saint ExupéryToulouse · France2023–2026 · 9 papersEmployment since 2024 · Researchercurrent🔬Institut de Recherche en Informatique de ToulouseToulouse · France2022–2023 · 7 papers🎓Université Toulouse III - Paul SabatierToulouse · France2023 · 3 papers🎓Université de ToulouseToulouse · France2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workInterpretability · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. EuroBERT: Scaling Multilingual Encoders for European Languages (2025 · 34 citations)
    Bidirectional encoders still power most retrieval, classification and regression systems, but recent modeling progress has mostly gone into decoder-only LLMs.
  2. Interpreto: An Explainability Library for Transformers (2026)
    Explaining how Transformer language models reach their outputs matters for debugging, detecting bias and safety work.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations
  2. FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity ↗arXiv:2504.15941 · no summary yetFanny Jourdan, Yannick Chevalier, Cecile Favre2025 · 6 citations
  3. Interpreto: An Explainability Library for TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Antonin Poché, Thomas Mullor, Gabriele Sarti, et al.2026

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/fanny-jourdan/