--- title: "Onur Celebi — author profile and papers — Elamur Research" description: "Onur Celebi, Meta: 2 papers on Elamur Research (2021–2022), h-index 10 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/onur-celebi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/onur-celebi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Onur Celebi # Onur Celebi Onur Celebi has 2 papers in our library, in 2021–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Alexis Conneau](https://md.research.elamur.ai/free/en/authors/alexis-conneau/), [Beliz Gunel](https://md.research.elamur.ai/free/en/authors/beliz-gunel/), [Edouard Grave](https://md.research.elamur.ai/free/en/authors/edouard-grave/). 2 papers in our library · 2021–2022 [OpenAlex](https://openalex.org/A5055056487) · [**h-index 10**](https://openalex.org/authors/A5055056487) · [20 works](https://openalex.org/works?filter=author.id:A5055056487) · [1,258 citations](https://openalex.org/works?filter=author.id:A5055056487&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/onur-celebi/#papers) · [🔗 Cited 1,810 times in our library](https://md.research.elamur.ai/free/en/authors/onur-celebi/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4208](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4208) 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=Onur+Celebi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Onur+Celebi) · [dblp](https://dblp.org/search?q=Onur+Celebi) · [ACL Anthology](https://aclanthology.org/search/?q=Onur+Celebi) ## Affiliations [🏢**Meta** Menlo Park · United States 2019–2025 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Meta** London · United Kingdom 2019–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/) · [🎓**Stanford University** Stanford · United States 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/stanford-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. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) ## Works by year ### 2020s [**2022** 1 paper Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/heffernan-2022-bitext-mining-distilled-sentence-representations/) · [**2021** 1 paper Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/) ## Papers The most cited first (OpenAlex and our library). 1. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/)** *(2021 · 169 citations)* Self-training uses a teacher model to label unannotated examples for a student model. It usually assumes that unlabeled text from the target task's domain is already available, and that assumption breaks down for many low-resource tasks. The authors ask whether self-training still helps on top of strong… 2. **[Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/heffernan-2022-bitext-mining-distilled-sentence-representations/)** *(2022 · 127 citations)* Multilingual sentence encoders that try to cover every language in one model have trouble with the long tail of low-resource languages. ## 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. **[No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) arXiv:2207.04672 · original ↗ · no summary yet**NLLB Team et al.*2022 · 1,861 citations* 2. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingfei Du, Edouard Grave, Beliz Gunel, et al.*2021 · 169 citations* 3. **[Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/heffernan-2022-bitext-mining-distilled-sentence-representations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kevin Heffernan, Onur Çelebi, Holger Schwenk*2022 · 127 citations* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Alexis Conneau](https://md.research.elamur.ai/free/en/authors/alexis-conneau/) - [Beliz Gunel](https://md.research.elamur.ai/free/en/authors/beliz-gunel/) - [Edouard Grave](https://md.research.elamur.ai/free/en/authors/edouard-grave/) - [Holger Schwenk](https://md.research.elamur.ai/free/en/authors/holger-schwenk/) - [Jingfei Du](https://md.research.elamur.ai/free/en/authors/jingfei-du/) - [Kevin Heffernan](https://md.research.elamur.ai/free/en/authors/kevin-heffernan/) - [Michael Auli](https://md.research.elamur.ai/free/en/authors/michael-auli/) - [Veselin Stoyanov](https://md.research.elamur.ai/free/en/authors/veselin-stoyanov/) - [Vishrav Chaudhary](https://md.research.elamur.ai/free/en/authors/vishrav-chaudhary/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2021](https://md.research.elamur.ai/free/en/venues/naacl/2021/) ## Cited by Papers of our library cite their works 1,810 times (of the 141,840 papers whose bibliographies we read); [188 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/onur-celebi/cited-by/). Updated 24 October 2026