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Nicolas Boizard

Nicolas Boizard has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Tokenization & segmentation; often with Celine Hudelot, Duarte M. Alves, Joao Alves.

3 papers in our library · 2024–2025

OpenAlex · h-index 2 · 10 works · 11 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 165 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6631

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

🔬CentraleSupélecGif-sur-Yvette · France2025–2026 · 5 paperscurrent🎓Université Paris-SaclayGif-sur-Yvette · France2025–2026 · 5 paperscurrent🔬Mathématiques et Informatique pour la Complexité et les SystèmesGif-sur-Yvette · France2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workEfficient models & compression · 1 workTokenization & segmentation · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Subword tokenization · 1 work

 Works by year

2020s

20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. EuroLLM-9B: Technical Report (2025 · 45 citations)
    Open large language models tend to serve English and a few major languages well, leaving many European languages behind.
  2. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs (2024 · 35 citations)
    Logit-based knowledge distillation usually relies on KL divergence. This requires the teacher and the student to share one vocabulary, but LLM families rarely share tokenizers. As a result, practitioners mostly fall back on fine-tuning the student on text the teacher has generated. Drawing on optimal transport, the…
  3. 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.

All works

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

  1. CroissantLLM: A Truly Bilingual French-English Language Model ↗arXiv:2402.00786 · no summary yetManuel Faysse et al.2024 · 59 citations
  2. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  3. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMsarXiv:2402.12030 · Transactions on Machine Learning Research, January 2025Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.2024 · 35 citations
  4. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 165 times (of the 149,439 papers whose bibliographies we read); 44 citing papers with a page here →.

Updated

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