Alexandra Sasha Luccioni

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Language Processing

Dirichlet Prior

Top Venues

J. Mach. Learn. Res.

Publications

Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. CoRR (2024)
Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager
Open Problems in Technical AI Governance. CoRR (2024)
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) (2023)
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 (2023)
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 (2023)
Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite
Stable Bias: Analyzing Societal Representations in Diffusion Models. CoRR (2023)
Alexandra Sasha Luccioni, Anna Rogers
Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice. CoRR (2023)
Alexandra Sasha Luccioni, Yacine Jernite, Emma Strubell
Power Hungry Processing: Watts Driving the Cost of AI Deployment? CoRR (2023)
Alexandra Sasha Luccioni, Alex Hernández-García
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning. CoRR (2023)
Alexandra Sasha Luccioni, David Rolnick
Bugs in the Data: How ImageNet Misrepresents Biodiversity. AAAI (2023)
Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model. J. Mach. Learn. Res. 24 (2023)
Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni
Into the LAIONs Den: Investigating Hate in Multimodal Datasets. CoRR (2023)
Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model. CoRR (2022)
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)
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 (2022)
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 (2022)
Alexandra Sasha Luccioni, David Rolnick
Bugs in the Data: How ImageNet Misrepresents Biodiversity. CoRR (2022)
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)
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 (2022)
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 (2022)
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gerard 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)
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 (2022)
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)
Travis LaCroix, Alexandra Sasha Luccioni
Metaethical Perspectives on 'Benchmarking' AI Ethics. CoRR (2022)
Alexandra Sasha Luccioni, Joseph D. Viviano
What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus. CoRR (2021)
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) (2021)
Frances Corry, Hamsini Sridharan, Alexandra Sasha Luccioni, Mike Ananny, Jason Schultz, Kate Crawford
The Problem of Zombie Datasets: A Framework For Deprecating Datasets. CoRR (2021)
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 (2021)
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)
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)
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 (2021)
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 (2020)
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 (2020)
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 (2020)