🧑‍🔬 Alexandra 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

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Quantifying the Carbon Emissions of Machine Learning (2019 · 335 citations)
   Training neural networks consumes considerable energy, but ML practitioners rarely know how much CO2 their experiments produce.
2. What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus (2021 · 111 citations)
   Large language models such as the GPT series, BERT and FastText rely heavily on web-scraped training text, yet those corpora are rarely examined.

All works

5 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. Quantifying the Carbon Emissions of Machine LearningarXiv:1910.09700Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, et al.2019 · 335 citations
4. What's in the Box? An Analysis of Undesirable Content in the Common Crawl CorpusAnnual Meeting of the Association for Computational Linguistics (ACL)Alexandra Luccioni, Joseph Viviano2021 · 111 citations
5. The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2024 · 11 citations

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) ×2: ACL 2021
• BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models

🔗 Cited by

Papers of our library cite their works 2,303 times (of the 149,439 papers whose bibliographies we read); 508 citing papers with a page here →.

Updated 2 November 2026

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