Elamur Research⌕
☰
home / authors / Stas Bekman

Stas Bekman

Stas Bekman has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, GPU & parallel computing; often with Lucile Saulnier, Thomas Wang, Alexander M. Rush.

2 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 6 · 19 works · 1,385 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,881 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5795

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

🎓New York UniversityNew York · United States2022 · 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Vision & language · 1 workGPU & parallel computing · 1 workLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents (2023 · 197 citations)
    High-performing vision-language systems such as Flamingo and KOSMOS-1 learn from web pages in which pictures and prose alternate.
  2. What Language Model to Train if You Have One Million GPU Hours? (2022 · 73 citations)
    The BigScience collaboration had a fixed allowance of roughly one million A100 GPU-hours to build BLOOM, a massively multilingual model with more than 100B parameters.

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. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
  2. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
  3. What Language Model to Train if You Have One Million GPU Hours?arXiv:2210.15424Teven Le Scao, Thomas Wang, Daniel Hesslow, et al.2022 · 73 citations

 Co-authors here

12 of 20 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 1,881 times (of the 149,439 papers whose bibliographies we read); 426 citing papers with a page here →.

Updated

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