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Johan Ferret

Johan Ferret has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Summarization, Reasoning; often with Geoffrey Cideron, Leonard Hussenot, Robert Dadashi.

2 papers in our library · 2023–2024

OpenAlex · h-index 11 · 42 works · 1,553 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5,968 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #8573

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

🏢GoogleMountain View · United States2019–2026 · 7 paperscurrent🏢Google DeepMindLondon · United Kingdom2024–2026 · 2 paperscurrent🎓Université de LilleLille · France2021–2024 · 7 papers🔬Centre de Recherche en Informatique, Signal et Automatique de LilleVilleneuve-d'Ascq · France2021–2022 · 4 papers🔬SCOOL: Prise de décision séquentielle dans l'incertainVilleneuve-d'Ascq · France2021–2022 · 3 papers🎓Bar-Ilan UniversityRamat Gan · Israel2023 · 2 papers🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt · France2021–2022 · 2 papers🔬Centre National de la Recherche ScientifiqueParis · France2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 1 workSummarization · 1 workEfficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback (2023 · 70 citations)
    Abstractive summarizers often produce statements that their source article does not support or even contradicts.
  2. BOND: Aligning LLMs with Best-of-N Distillation (2024 · 23 citations)
    Best-of-N sampling draws N responses from a reference model and keeps the one a reward model scores highest.

All works

7 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. Gemma: Open Models Based on Gemini Research and Technology ↗arXiv:2403.08295 · no summary yetGemma Team et al.2024 · 1,313 citations
  2. Gemma 2: Improving Open Language Models at a Practical Size ↗arXiv:2408.00118 · no summary yetGemma Team et al.2024 · 1,302 citations
  3. Gemma 3 Technical Report ↗arXiv:2503.19786 · no summary yetGemma Team et al.2025 · 1,147 citations
  4. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Roit, Johan Ferret, Lior Shani, et al.2023 · 70 citations
  5. Gemma 4 Technical Report ↗arXiv (Cornell University) · no summary yetGemma Team et al.2026 · 45 citations
  6. BOND: Aligning LLMs with Best-of-N DistillationarXiv:2407.14622Pier Giuseppe Sessa, Robert Dadashi, Leonard Hussenot, et al.2024 · 23 citations
  7. RecurrentGemma: Moving Past Transformers for Efficient Open Language Models ↗arXiv (Cornell University) · no summary yetAleksandar Botev et al.2024 · 22 citations

 Co-authors here

12 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 5,968 times (of the 149,439 papers whose bibliographies we read); 1,423 citing papers with a page here →.

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