🧑‍🔬 Sasha Luccioni

🏛️ Affiliations

🏢Hugging FaceNew York · United States2022–2026 · 28 paperscurrent🎓Université de MontréalMontreal · Canada2019–2023 · 18 papersEducation🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2020–2022 · 9 papers🎓Carnegie Mellon UniversityPittsburgh · United States2025 · 2 papers🏛️United NationsNew York · United States2021 · 2 papers🎓Université du Québec à MontréalMontreal · Canada2016 · 2 papersEducation🎓Université Sorbonne NouvelleParis · FranceEducation🔬École Normale Supérieure - PSLParis · FranceEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings (2022 · 130 citations)
   This BigScience position paper asks how social bias should be evaluated in large language models that cover many languages.
2. The ROOTS Search Tool: Data Transparency for LLMs (2023 · 42 citations)
   Training corpora for large language models are usually massive web scrapes that almost nobody inspects qualitatively.

All works

6 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. StarCoder: may the source be with you! ↗arXiv:2305.06161 · no summary yetRaymond Li et al.2023 · 732 citations
3. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
4. What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yetAlexandra Luccioni, Joseph Viviano2021 · 111 citations
5. The ROOTS Search Tool: Data Transparency for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Aleksandra Piktus, Christopher Akiki, Paulo Villegas, et al.2023 · 42 citations
6. The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2024 · 11 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Aleksandra Piktus
• Anna Rogers
• Arjun Subramonian
• Aurélie Névéol
• Christopher Akiki
• Dragomir Radev
• Manan Dey
• Maraim Masoud
• Margaret Mitchell
• Shayne Longpre
• Stella Biderman
• Yacine Jernite

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): ACL 2023
• BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models: BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models 2022
• Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

🔗 Cited by

Papers of our library cite their works 2,303 times (of the 149,439 papers whose bibliographies we read); 426 citing papers with a page here →.

Updated 1 November 2026

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