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ORCIDSasha Luccioni
Alexandra Sasha Luccioni – Alexandra Luccioni
Person information
- affiliation: HuggingFace
- affiliation (former): Université de Montréal, Canada
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2020 – today
- 2023
[j12]David Rolnick
, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55(2): 42:1-42:96 (2023)- [j11]Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat:
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model. J. Mach. Learn. Res. 24: 253:1-253:15 (2023) - [c16]Alexandra Sasha Luccioni, David Rolnick:
Bugs in the Data: How ImageNet Misrepresents Biodiversity. AAAI 2023: 14382-14390 - [c15]Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers:
The ROOTS Search Tool: Data Transparency for LLMs. ACL (demo) 2023: 304-314 - [c14]Xiaorong Wang, Clara Na, Emma Strubell, Sorelle Friedler, Sasha Luccioni:
Energy and Carbon Considerations of Fine-Tuning BERT. EMNLP (Findings) 2023: 9058-9069 - [c13]Abeba Birhane, Vinay Uday Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni:
Into the LAION's Den: Investigating Hate in Multimodal Datasets. NeurIPS 2023 - [c12]Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite:
Stable Bias: Evaluating Societal Representations in Diffusion Models. NeurIPS 2023 - [i34]Alexandra Sasha Luccioni, Alex Hernández-García:
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning. CoRR abs/2302.08476 (2023) - [i33]Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting:
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness. CoRR abs/2302.10893 (2023) - [i32]Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Alexandra Sasha Luccioni, Yacine Jernite, Anna Rogers:
The ROOTS Search Tool: Data Transparency for LLMs. CoRR abs/2302.14035 (2023) - [i31]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR abs/2303.03915 (2023) - [i30]Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite:
Stable Bias: Analyzing Societal Representations in Diffusion Models. CoRR abs/2303.11408 (2023) - [i29]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i28]Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev:
Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR abs/2306.05949 (2023) - [i27]Alexandra Sasha Luccioni, Anna Rogers:
Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice. CoRR abs/2308.07120 (2023) - [i26]Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni:
Into the LAIONs Den: Investigating Hate in Multimodal Datasets. CoRR abs/2311.03449 (2023) - [i25]Xiaorong Wang, Clara Na, Emma Strubell, Sorelle Friedler, Sasha Luccioni:
Energy and Carbon Considerations of Fine-Tuning BERT. CoRR abs/2311.10267 (2023) - [i24]Alexandra Sasha Luccioni, Yacine Jernite, Emma Strubell:
Power Hungry Processing: Watts Driving the Cost of AI Deployment? CoRR abs/2311.16863 (2023) - 2022
- [c11]Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic:
Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) 2022: 7-11 - [c10]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. EMNLP (Demos) 2022: 128-136 - [c9]Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford:
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication. FAccT 2022: 199-212 - [c8]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT 2022: 1877-1894 - [c7]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT 2022: 2206-2222 - [c6]Victor Schmidt, Alexandra Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio:
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. ICLR 2022 - [c5]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS 2022 - [i23]Travis LaCroix, Alexandra Sasha Luccioni:
Metaethical Perspectives on 'Benchmarking' AI Ethics. CoRR abs/2204.05151 (2022) - [i22]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR abs/2206.03216 (2022) - [i21]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR abs/2206.05229 (2022) - [i20]Alexandra Sasha Luccioni, David Rolnick:
Bugs in the Data: How ImageNet Misrepresents Biodiversity. CoRR abs/2208.11695 (2022) - [i19]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR abs/2210.01970 (2022) - [i18]Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat:
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model. CoRR abs/2211.02001 (2022) - [i17]Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.:
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR abs/2211.05100 (2022) - [i16]Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela:
Measuring Data. CoRR abs/2212.05129 (2022) - 2021
- [j10]Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio, Theresa-Marie Rhyne:
Using Artificial Intelligence to Visualize the Impacts of Climate Change. IEEE Computer Graphics and Applications 41(1): 8-14 (2021) - [j9]Miguel A. Luengo-Oroz, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Alexandra Sasha Luccioni:
From Artificial Intelligence Bias to Inequality in the Time of COVID-19. IEEE Technol. Soc. Mag. 40(1): 71-79 (2021) - [c4]Alexandra Sasha Luccioni, Joseph D. Viviano:
What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus. ACL/IJCNLP (2) 2021: 182-189 - [c3]Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Joseph Aylett-Bullock, Miguel A. Luengo-Oroz:
Ensuring the Inclusive Use of NLP in the Global Response to COVID-19. PKDD/ECML Workshops (2) 2021: 259-266 - [i15]Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot:
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification. CoRR abs/2103.11285 (2021) - [i14]Alexandra Sasha Luccioni, Joseph D. Viviano:
What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus. CoRR abs/2105.02732 (2021) - [i13]David Friederich, Lynn H. Kaack, Alexandra Luccioni, Bjarne Steffen:
Automated Identification of Climate Risk Disclosures in Annual Corporate Reports. CoRR abs/2108.01415 (2021) - [i12]Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Joseph Aylett-Bullock, Miguel A. Luengo-Oroz:
Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19. CoRR abs/2108.10791 (2021) - [i11]Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio:
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. CoRR abs/2110.02871 (2021) - [i10]Frances Corry, Hamsini Sridharan, Alexandra Sasha Luccioni, Mike Ananny, Jason Schultz, Kate Crawford:
The Problem of Zombie Datasets: A Framework For Deprecating Datasets. CoRR abs/2111.04424 (2021) - 2020
- [j8]Joseph Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel A. Luengo-Oroz:
Mapping the landscape of Artificial Intelligence applications against COVID-19. J. Artif. Intell. Res. 69: 807-845 (2020) - [j7]Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio:
Establishing an evaluation metric to quantify climate change image realism. Mach. Learn. Sci. Technol. 1(2): 25005 (2020) - [j6]Miguel A. Luengo-Oroz, Katherine Hoffmann Pham, Joseph Bullock, Robert Kirkpatrick, Alexandra Luccioni, Sasha Rubel, Cedric Wachholz, Moez Chakchouk, Phillippa Biggs, Tim Nguyen, Tina Purnat, Bernardo Mariano:
Artificial intelligence cooperation to support the global response to COVID-19. Nat. Mach. Intell. 2(6): 295-297 (2020) - [j5]Alexandra Luccioni, Yoshua Bengio:
On the Morality of Artificial Intelligence [Commentary]. IEEE Technol. Soc. Mag. 39(1): 16-25 (2020) - [j4]Amy Luers, Lyse Langlois, Mathilde Mougeot, Sana Kharaghani, Alexandra Luccioni:
Sustainability in the Digital Age [Special Issue Introduction]. IEEE Technol. Soc. Mag. 39(2): 11-13 (2020) - [j3]Amy Luers, Jennifer Garard, Asun Lera St. Clair, Owen Gaffney, Tom Hassenboehler, Lyse Langlois, Mathilde Mougeot, Sasha Luccioni:
Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The D^2S Agenda: [Commentary]. IEEE Technol. Soc. Mag. 39(2): 18-31 (2020) - [j2]Alexandra Luccioni, Alexandre Lacoste, Victor Schmidt:
Estimating Carbon Emissions of Artificial Intelligence [Opinion]. IEEE Technol. Soc. Mag. 39(2): 48-51 (2020) - [i9]Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni, Yoshua Bengio:
Using Simulated Data to Generate Images of Climate Change. CoRR abs/2001.09531 (2020) - [i8]Joseph Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel A. Luengo-Oroz:
Mapping the Landscape of Artificial Intelligence Applications against COVID-19. CoRR abs/2003.11336 (2020) - [i7]Alexandra Sasha Luccioni, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel A. Luengo-Oroz:
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19. CoRR abs/2008.09043 (2020) - [i6]Alexandra Luccioni, Emily Baylor, Nicolas Duchene:
Analyzing Sustainability Reports Using Natural Language Processing. CoRR abs/2011.08073 (2020)
2010 – 2019
- 2019
- [i5]Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio:
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks. CoRR abs/1905.03709 (2019) - [i4]David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
Tackling Climate Change with Machine Learning. CoRR abs/1906.05433 (2019) - [i3]Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, Thomas Dandres:
Quantifying the Carbon Emissions of Machine Learning. CoRR abs/1910.09700 (2019) - [i2]Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio:
Establishing an Evaluation Metric to Quantify Climate Change Image Realism. CoRR abs/1910.10143 (2019) - [i1]Alexandra Luccioni, Yoshua Bengio:
On the Morality of Artificial Intelligence. CoRR abs/1912.11945 (2019) - 2016
- [c2]Alexandra Luccioni, Jacqueline Bourdeau, Jean Massardi, Roger Nkambou:
STI-DICO: A Web-Based ITS for Fostering Dictionary Skills and Knowledge. EC-TEL 2016: 416-421 - [c1]Alexandra Luccioni, Roger Nkambou, Jean Massardi, Jacqueline Bourdeau, Claude Coulombe:
STI-DICO: A Web-Based System for Intelligent Tutoring of Dictionary Skills. WWW (Companion Volume) 2016: 923-928 - 2015
- [j1]Alexandra Luccioni, Luciana Benotti, Frédéric Landragin:
Overspecified references: An experiment on lexical acquisition in a virtual environment. Comput. Hum. Behav. 49: 94-101 (2015)
Coauthor Index
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