--- title: "Sasha Luccioni · Hugging Face — author profile and papers" description: "Sasha Luccioni, Hugging Face: 2 papers on Elamur Research (2022–2023), h-index 22 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/sasha-luccioni/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sasha-luccioni/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sasha Luccioni # Sasha Luccioni Sasha Luccioni has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Aleksandra Piktus](https://md.research.elamur.ai/free/en/authors/aleksandra-piktus/), [Anna Rogers](https://md.research.elamur.ai/free/en/authors/anna-rogers/), [Arjun Subramonian](https://md.research.elamur.ai/free/en/authors/arjun-subramonian/). 2 papers in our library · 2022–2023 [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/sasha-luccioni/#papers) · [🔗 Cited 2,303 times in our library](https://md.research.elamur.ai/free/en/authors/sasha-luccioni/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6795](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6795) 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=Sasha+Luccioni) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sasha+Luccioni) · [dblp](https://dblp.org/search?q=Sasha+Luccioni) · [ACL Anthology](https://aclanthology.org/search/?q=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 6 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/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/sasha-luccioni/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/sasha-luccioni/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings](https://md.research.elamur.ai/free/en/papers/talat-2022-you-reap-what-you-sow/)** *(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](https://md.research.elamur.ai/free/en/papers/piktus-2023-roots-search-tool-data-transparency/)** *(2023 · 42 citations)* Training corpora for large language models are usually massive web scrapes that almost nobody inspects qualitatively. ## 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. **[You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings](https://md.research.elamur.ai/free/en/papers/talat-2022-you-reap-what-you-sow/) [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/)**Zeerak Talat, Aurélie Névéol, Stella Biderman, et al.*2022 · 130 citations* 4. **[The ROOTS Search Tool: Data Transparency for LLMs](https://md.research.elamur.ai/free/en/papers/piktus-2023-roots-search-tool-data-transparency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aleksandra Piktus, Christopher Akiki, Paulo Villegas, et al.*2023 · 42 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* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Aleksandra Piktus](https://md.research.elamur.ai/free/en/authors/aleksandra-piktus/) - [Anna Rogers](https://md.research.elamur.ai/free/en/authors/anna-rogers/) - [Arjun Subramonian](https://md.research.elamur.ai/free/en/authors/arjun-subramonian/) - [Aurélie Névéol](https://md.research.elamur.ai/free/en/authors/aurelie-neveol/) - [Christopher Akiki](https://md.research.elamur.ai/free/en/authors/christopher-akiki/) - [Dragomir Radev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) - [Manan Dey](https://md.research.elamur.ai/free/en/authors/manan-dey/) - [Maraim Masoud](https://md.research.elamur.ai/free/en/authors/maraim-masoud/) - [Margaret Mitchell](https://md.research.elamur.ai/free/en/authors/margaret-mitchell/) - [Miruna-Adriana Clinciu](https://md.research.elamur.ai/free/en/authors/miruna-adriana-clinciu/) - [Shayne Longpre](https://md.research.elamur.ai/free/en/authors/shayne-longpre/) - [Stella Biderman](https://md.research.elamur.ai/free/en/authors/stella-biderman/) ## 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 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) - [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/): [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models 2022](https://md.research.elamur.ai/free/en/venues/bigscience/2022/) ## 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/sasha-luccioni/cited-by/). Updated 2 November 2026