--- title: "Alexandra Sasha Luccioni — author profile and papers" description: "Alexandra Sasha Luccioni, Hugging Face: 2 papers on Elamur Research (2019–2021), h-index 22 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Alexandra Sasha Luccioni # Alexandra Sasha Luccioni Alexandra Sasha Luccioni has 2 papers in our library, in 2019–2021. 2 papers in our library · 2019–2021 [OpenAlex](https://openalex.org/A5091714241) · [ORCID](https://orcid.org/0000-0001-6238-7050) · [Wikidata](https://www.wikidata.org/wiki/Q122439015) · [**h-index 22**](https://openalex.org/authors/A5091714241) · [72 works](https://openalex.org/works?filter=author.id:A5091714241) · [3,337 citations](https://openalex.org/works?filter=author.id:A5091714241&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/#papers) · [🔗 Cited 2,303 times in our library](https://md.research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4538](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4538) 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=Alexandra+Sasha+Luccioni) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alexandra+Sasha+Luccioni) · [dblp](https://dblp.org/search?q=Alexandra+Sasha+Luccioni) · [ACL Anthology](https://aclanthology.org/search/?q=Alexandra+Sasha+Luccioni) ## Affiliations [🏢**Hugging Face** New York · United States 2022–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/companies/hugging-face/) · [🎓**Université de Montréal** Montreal · Canada 2019–2023 · 18 papersEducation](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2020–2022 · 9 papers](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏛️**United Nations** New York · United States 2021 · 2 papers](https://ror.org/006kxhp52) · [🎓**Université du Québec à Montréal** Montreal · Canada 2016 · 2 papersEducation](https://md.research.elamur.ai/free/en/universities/universite-du-quebec-a-montreal/) · [🎓**Université Sorbonne Nouvelle** Paris · France Education](https://md.research.elamur.ai/free/en/universities/universite-sorbonne-nouvelle/) · [🔬**École Normale Supérieure - PSL** Paris · France Education](https://md.research.elamur.ai/free/en/labs/ecole-normale-superieure-psl/) 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. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Environmental Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/environmental-science/environmental-engineering/) · [Environmental Science · 1 work](https://md.research.elamur.ai/free/en/shelves/environmental-science/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/year/2021/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Quantifying the Carbon Emissions of Machine Learning](https://md.research.elamur.ai/free/en/papers/lacoste-2019-quantifying-carbon-emissions-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](https://md.research.elamur.ai/free/en/papers/luccioni-2021-what-s-box-analysis-undesirable/)** *(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 ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations* 2. **[StarCoder: may the source be with you! ↗](https://arxiv.org/abs/2305.06161) arXiv:2305.06161 · no summary yet**Raymond Li et al.*2023 · 732 citations* 3. [**Quantifying the Carbon Emissions of Machine Learning arXiv:1910.09700**Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, et al.*2019 · 335 citations*](https://md.research.elamur.ai/free/en/papers/lacoste-2019-quantifying-carbon-emissions-machine-learning/) 4. **[What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus](https://md.research.elamur.ai/free/en/papers/luccioni-2021-what-s-box-analysis-undesirable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexandra Luccioni, Joseph Viviano*2021 · 111 citations* 5. **[The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗](https://arxiv.org/abs/2406.16746) arXiv (Cornell University) · no summary yet**Shayne 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)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/) ## 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 →](https://md.research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/cited-by/). Updated 2 November 2026