--- title: "Nino Vieillard — author profile and papers — Elamur Research" description: "Nino Vieillard, Google: 2 papers on Elamur Research (2023–2024), h-index 10 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nino-vieillard/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nino-vieillard/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nino Vieillard # Nino Vieillard Nino Vieillard has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Piotr Stanczyk](https://md.research.elamur.ai/free/en/authors/piotr-stanczyk/), [Alexandre Rame](https://md.research.elamur.ai/free/en/authors/alexandre-rame/), [Geoffrey Cideron](https://md.research.elamur.ai/free/en/authors/geoffrey-cideron/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5071735499) · [**h-index 10**](https://openalex.org/authors/A5071735499) · [32 works](https://openalex.org/works?filter=author.id:A5071735499) · [1,282 citations](https://openalex.org/works?filter=author.id:A5071735499&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nino-vieillard/#papers) · [🔗 Cited 4,928 times in our library](https://md.research.elamur.ai/free/en/authors/nino-vieillard/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5542](https://md.research.elamur.ai/free/en/paper-stars/page/56/#star-5542) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nino+Vieillard) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nino+Vieillard) · [dblp](https://dblp.org/search?q=Nino+Vieillard) · [ACL Anthology](https://aclanthology.org/search/?q=Nino+Vieillard) ## Affiliations [🏢**Google** Mountain View · United States 2019–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Université de Lorraine** Nancy · France 2020–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/universite-de-lorraine/) · [🔬**Institut Élie Cartan de Lorraine** Vandœuvre-lès-Nancy · France 2020–2022 · 5 papers](https://ror.org/04rvw8791) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2021–2022 · 4 papers](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🔬**Institut national de recherche en sciences et technologies du numérique** Le Chesnay-Rocquencourt · France 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/) · [🎓**Bar-Ilan University** Ramat Gan · Israel 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/nino-vieillard/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/nino-vieillard/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/)** *(2023 · 299 citations)* Distilling a large autoregressive language model into a smaller student usually means training on a fixed set of sequences, either ground-truth targets or outputs the teacher generated. 2. **[BOND: Aligning LLMs with Best-of-N Distillation](https://md.research.elamur.ai/free/en/papers/sessa-2024-bond-aligning-llms-best-n/)** *(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 4 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 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations* 2. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations* 3. [**On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes arXiv:2306.13649**Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.*2023 · 299 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/) 4. [**BOND: Aligning LLMs with Best-of-N Distillation arXiv:2407.14622**Pier Giuseppe Sessa, Robert Dadashi, Leonard Hussenot, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/sessa-2024-bond-aligning-llms-best-n/) ## Co-authors here 11 co-authors with a page, the most papers together first. - [Piotr Stanczyk](https://md.research.elamur.ai/free/en/authors/piotr-stanczyk/) ×2 - [Alexandre Rame](https://md.research.elamur.ai/free/en/authors/alexandre-rame/) - [Geoffrey Cideron](https://md.research.elamur.ai/free/en/authors/geoffrey-cideron/) - [Johan Ferret](https://md.research.elamur.ai/free/en/authors/johan-ferret/) - [Leonard Hussenot](https://md.research.elamur.ai/free/en/authors/leonard-hussenot/) - [Matthieu Geist](https://md.research.elamur.ai/free/en/authors/matthieu-geist/) - [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/) - [Robert Dadashi](https://md.research.elamur.ai/free/en/authors/robert-dadashi/) - [Sarah Perrin](https://md.research.elamur.ai/free/en/authors/sarah-perrin/) - [Sertan Girgin](https://md.research.elamur.ai/free/en/authors/sertan-girgin/) - [Yongchao Zhou](https://md.research.elamur.ai/free/en/authors/yongchao-zhou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ## Cited by Papers of our library cite their works 4,928 times (of the 149,439 papers whose bibliographies we read); [1,234 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nino-vieillard/cited-by/). Updated 3 November 2026