Sasha Luccioni

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Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Victor SchmidtMila, Université de MontréalVerified email at mila.quebec
Joseph Aylett-BullockData Scientist, United Nations Department of Peace OperationsVerified email at durham.ac.uk
Katherine Hoffmann PhamUNICEFVerified email at nyu.edu
David RolnickMcGill University, Mila Quebec AI InstituteVerified email at cs.mcgill.ca
Miguel Luengo-OrozSpotlab - United Nations - Universidad Politecnica de MadridVerified email at die.upm.es
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchVerified email at servicenow.com
Lynn H. KaackHertie SchoolVerified email at hertie-school.org
Kris SankaranAssistant Professor of Statistics, University of Wisconsin - MadisonVerified email at wisc.edu
Margaret MitchellResearch Scientist, Hugging FaceVerified email at huggingface.co
Nikola Milojevic-DupontTechnical University BerlinVerified email at mcc-berlin.net
Natasha JaquesGoogle Research, UC BerkeleyVerified email at google.com
Evan D. SherwinStanford UniversityVerified email at stanford.edu
Kelly KochanskiPhD, University of Colorado - BoulderVerified email at colorado.edu
Tegan MaharajAssistant Professor at University of TorontoVerified email at polymtl.ca
Andrew RossPhD student, Harvard UniversityVerified email at g.harvard.edu
Priya L. DontiAssistant Professor, MIT EECS & LIDS; Co-founder and Chair, Climate Change AIVerified email at mit.edu
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
Jesse DodgeAllen Institute for AIVerified email at allenai.org
John C. PlattGoogleVerified email at google.com

Sasha Luccioni

Other namesAlexandra Luccioni, Alexandra Vorobyova

Hugging Face

Verified email at huggingface.co - Homepage

Machine Learning Natural Language Processing AI Ethics AI for Social Good AI for Climate Change


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Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022	815*	2022
Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022	730	2022
Mapping the landscape of artificial intelligence applications against COVID-19 J Bullock, A Luccioni, KH Pham, CSN Lam, M Luengo-Oroz Journal of Artificial Intelligence Research 69, 807-845, 2020	517	2020
Quantifying the carbon emissions of machine learning S Luccioni, V Schmidt, A Lacoste, T Dandres NeurIPS 2019 Workshop on Tackling Climate Change with Machine Learning, 2019	471*	2019
Artificial intelligence cooperation to support the global response to COVID-19 M Luengo-Oroz, K Hoffmann Pham, J Bullock, R Kirkpatrick, A Luccioni, ... Nature Machine Intelligence 2 (6), 295-297, 2020	124	2020
StarCoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023	115	2023
GPT-4 is here: what scientists think K Sanderson Nature 615 (7954), 773, 2023	77	2023
Measuring the carbon intensity of AI in cloud instances J Dodge, T Prewitt, R Tachet des Combes, E Odmark, R Schwartz, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	72	2022
What’s in the box? an analysis of undesirable content in the Common Crawl corpus A Luccioni, J Viviano Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021	67*	2021
Estimating the carbon footprint of bloom, a 176b parameter language model AS Luccioni, S Viguier, AL Ligozat Journal of Machine Learning Research 24 (253), 1-15, 2023	64	2023
The bigscience roots corpus: A 1.6 tb composite multilingual dataset H Laurençon, L Saulnier, T Wang, C Akiki, A Villanova del Moral, ... Advances in Neural Information Processing Systems 35, 31809-31826, 2022	55	2022
Visualizing the consequences of climate change using cycle-consistent adversarial networks V Schmidt, A Luccioni, SK Mukkavilli, N Balasooriya, K Sankaran, ... arXiv preprint arXiv:1905.03709, 2019	44	2019
CodeCarbon: estimate and track carbon emissions from machine learning computing V Schmidt, K Goyal, A Joshi, B Feld, L Conell, N Laskaris, D Blank, ... Cited on, 20, 2021	42	2021
You reap what you sow: On the challenges of bias evaluation under multilingual settings Z Talat, A Névéol, S Biderman, M Clinciu, M Dey, S Longpre, S Luccioni, ... Proceedings of BigScience Episode# 5--Workshop on Challenges & Perspectives …, 2022	38	2022
Data governance in the age of large-scale data-driven language technology Y Jernite, H Nguyen, S Biderman, A Rogers, M Masoud, V Danchev, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	37	2022
Stable Bias: Analyzing Societal Representations in Diffusion Models A Sasha Luccioni, C Akiki, M Mitchell, Y Jernite arXiv e-prints, arXiv: 2303.11408, 2023	36*	2023
Analyzing sustainability reports using natural language processing A Luccioni, E Baylor, N Duchene arXiv preprint arXiv:2011.08073, 2020	30	2020
On the morality of artificial intelligence [Commentary] A Luccioni, Y Bengio IEEE Technology and Society Magazine 39 (1), 16-25, 2020	30*	2020
Using artificial intelligence to visualize the impacts of climate change A Luccioni, V Schmidt, V Vardanyan, Y Bengio IEEE Computer Graphics and Applications 41 (1), 8-14, 2021	24	2021
Automated identification of climate risk disclosures in annual corporate reports D Friederich, LH Kaack, A Luccioni, B Steffen arXiv preprint arXiv:2108.01415, 2021	23	2021

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