---
title: "Lysandre Debut · Hugging Face — author profile and papers"
description: "Lysandre Debut, Hugging Face: 2 papers on Elamur Research (2019–2020), h-index 4 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/lysandre-debut/"
---
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# Lysandre Debut

Lysandre Debut has 2 papers in our library, in 2019–2020, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Julien Chaumond](https://md.research.elamur.ai/free/en/authors/julien-chaumond/), [Thomas Wolf](https://md.research.elamur.ai/free/en/authors/thomas-wolf/), [Victor Sanh](https://md.research.elamur.ai/free/en/authors/victor-sanh/).

2 papers in our library · 2019–2020

[OpenAlex](https://openalex.org/A5069696966) · [**h-index 4**](https://openalex.org/authors/A5069696966) · [9 works](https://openalex.org/works?filter=author.id:A5069696966) · [12,615 citations](https://openalex.org/works?filter=author.id:A5069696966&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lysandre-debut/#papers) · [🔗 Cited 10,234 times in our library](https://md.research.elamur.ai/free/en/authors/lysandre-debut/cited-by/) · [⭐ Paper Stars ranking: #115](https://md.research.elamur.ai/free/en/paper-stars/page/2/#star-115)

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=Lysandre+Debut) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lysandre+Debut) · [dblp](https://dblp.org/search?q=Lysandre+Debut) · [ACL Anthology](https://aclanthology.org/search/?q=Lysandre+Debut)

## Affiliations

[🏢**Hugging Face** New York · United States 2019–2021 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/hugging-face/)

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 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) · [Transformer and attention · 1 work](https://md.research.elamur.ai/free/en/concepts/transformer/)

## Works by year

### 2020s

[**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/lysandre-debut/year/2020/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/lysandre-debut/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Transformers: State-of-the-Art Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/)** *(2020 · 15,755 citations)* Pretrained Transformer models now drive much of the progress in NLP. Using them in practice raises engineering problems: sharing weights, adapting them to new tasks, comparing architectures fairly, and serving them efficiently. The paper presents Transformers, Hugging Face's open-source library released under Apache…
2. **[DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter](https://md.research.elamur.ai/free/en/papers/sanh-2019-distilbert-distilled-version-bert-smaller/)** *(2019 · 6,751 citations)* Large pre-trained language models such as BERT deliver high quality. However, they require a lot of memory and computation, which makes them hard to run on smartphones or on a limited budget. The authors from Hugging Face propose DistilBERT: a compact general-purpose model obtained through knowledge distillation…

## Co-authors here

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

- [Julien Chaumond](https://md.research.elamur.ai/free/en/authors/julien-chaumond/) ×2
- [Thomas Wolf](https://md.research.elamur.ai/free/en/authors/thomas-wolf/) ×2
- [Victor Sanh](https://md.research.elamur.ai/free/en/authors/victor-sanh/) ×2
- [Joe Davison](https://md.research.elamur.ai/free/en/authors/joe-davison/)
- [Sam Shleifer](https://md.research.elamur.ai/free/en/authors/sam-shleifer/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/)

## Cited by

Papers of our library cite their works 10,234 times (of the 149,439 papers whose bibliographies we read); [1,291 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lysandre-debut/cited-by/).

Updated 2 November 2026
