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Sasha Luccioni
Sasha Luccioni
Otros nombresAlexandra Luccioni, Alexandra Vorobyova
Hugging Face
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Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
16202023
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
12172022
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
800*2019
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
7102023
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
5902020
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
2782023
Stable bias: Evaluating societal representations in diffusion models
S Luccioni, C Akiki, M Mitchell, Y Jernite
Advances in Neural Information Processing Systems 36, 2024
202*2024
GPT-4 is here: what scientists think
K Sanderson
Nature 615 (7954), 773, 2023
1952023
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
1782022
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
1682022
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
1532020
What's in the box? a preliminary analysis of undesirable content in the common crawl corpus
AS Luccioni, JD Viviano
arXiv preprint arXiv:2105.02732, 2021
1422021
Power hungry processing: Watts driving the cost of AI deployment?
S Luccioni, Y Jernite, E Strubell
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 85-99, 2024
1222024
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
1042022
Evaluating the social impact of generative ai systems in systems and society
I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, C Chen, ...
arXiv preprint arXiv:2306.05949, 2023
992023
Fair diffusion: Instructing text-to-image generation models on fairness
F Friedrich, M Brack, L Struppek, D Hintersdorf, P Schramowski, ...
arXiv preprint arXiv:2302.10893, 2023
842023
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
792021
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
692022
Counting carbon: A survey of factors influencing the emissions of machine learning
AS Luccioni, A Hernandez-Garcia
arXiv preprint arXiv:2302.08476, 2023
532023
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
532019
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