Margaret Mitchell
Active 1968–2025
- 104
- Papers
- 19,995
- Citations
- 44
- h-index
- 78
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Computer Science75.1%
- Social Sciences9.3%
- Psychology4%
- Medicine3.6%
- Engineering1.8%
- Decision Sciences1.4%
- Other4.8%
Topics
- Multimodal Machine Learning Applications11.8%
- Topic Modeling11.3%
- Natural Language Processing Techniques7.3%
- Advanced Image and Video Retrieval Techniques6%
- Domain Adaptation and Few-Shot Learning5.4%
- Ethics and Social Impacts of AI3.1%
- Other55.1%
Coauthors
- Jesse Dodge11
- Ben Hutchinson10
- Alexandra Sasha Luccioni8
- C. Lawrence Zitnick8
- Dirk Hovy8
- Yacine Jernite8
- Jacob Devlin7
- Xufeng Han7
- Amit Goyal6
- Karl Stratos6
- Kota Yamaguchi6
- Tamara L. Berg6
- Timnit Gebru6
- Aishwarya Agrawal5
- Devi Parikh5
- Dhruv Batra5
- Ehud Reiter5
- Giada Pistilli5
- Ishan Misra5
- Kees van Deemter5
- Kristy Hollingshead5
- Lucy Vanderwende5
- Maraim Masoud5
- Michel Galley5
All papers
- Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options
Authors: Workshop, BigScience, :, Teven Le Scao, Fan, Angela, Akiki, Christopher, Pavlick, Ellie, Ilić, Suzana, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas J. Wang, Benoît Sagot, Niklas Muennighoff, A. Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Du Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suárez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Launay, Julien, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Aji, Alham Fikri, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Chi Xu, Chenghao Mou, Chris Chinenye Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, Dragomir Radev, Eduardo González Ponferrada, Efrat Levkovizh, Ethan Kim, Eyal Bar Natan, Francesco De Toni, Gérard Dupont, Germán Kruszewski, Giada Pistilli, Hady Elsahar, Hamza Benyamina, Hieu Tran, Ian Yu, Idris Abdulmumin, Isaac Johnson, Itziar González-Dios, Javier de la Rosa, Jenny Chim, Jesse Dodge, Zhu, Jian, Jonathan Chang, Jörg Frohberg, Joseph Tobing, Joydeep Bhattacharjee, Khalid Almubarak, Kimbo Chen, Kyle Lo, Leandro Von Werra, Leon Weber, Long Phan, allal, Loubna Ben, Ludovic Tanguy, Manan Dey, Manuel Romero Muñoz, Maraim Masoud, María Grandury, Mario Šaško, Max T. Huang, Maximin Coavoux, Singh, Mayank, Mike Tian-Jian Jiang, Minh Chien Vu, Mohammad Ali Jauhar, Mustafa Ghaleb, Subramani, Nishant, Nora Kassner, Nurulaqilla Khamis, Olivier Nguyen, Omar Espejel, Ona de Gibert and 294 more - Commit2Data 2024 cited by 1,710
- VQA: Visual Question Answering
Authors: Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh - IEEE International Conference on Computer Vision (ICCV) 2015 cited by 4,289
- Model Cards for Model Reporting
Authors: Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru - Conference on Fairness, FAT 2019 cited by 1,705
- Proceedings of the 28th International Conference on Computational Linguistics
Authors: Xiaodan Zhu, Preslav Nakov, Jun Zhao, Michal Ptaszynski, Bartosz Ziolko, Website Chairs, Laura Prez- Mayos, Amita Misra, Derek Wong, Yang Zhang, Liang Huang, Ted Pedersen, Anna Rogers, Ghazaleh Kazeminejad, Feiyu Xu, Alexander Lser, Jose Manuel Gmez Prez, Paul Piwek, Padr Llus, Luis Cirera, Anke Espinosa, Esther Seyffarth, Local Support, Joana Clotet, Amanda Stent, Emily Bender, Dirk Hovy, Pascale Fung, Donia Scott, Leo Wanner, Horacio Saggion, Mnica Domnguez, Yang Zhao, Ethics Group, Tim Baldwin, Saif Mohammadl, Joana We, Harald Bloomberg, Baayen, Eberhard Karls, Margaret Mitchell, Google, Nuria Bel, Chengqing Zong, Lucia Specia, Daniel Beck, Workshops Co-Chairs, Jun Zhao, Ann Clifton, Courtney Napoles, Grammarly, Techmo, Cirera, Luis Anke, Publicity Co-Chairs, Tiejun Zhao, Beuth, Laura Prez-Mayos, Ibm Watson, Emily Bloomberg, Bender, Sophia Ananiadou, Rafael Banchs, Intapp Miwa, Alessandro Lenci, Michael Strube, Jian-Yun Nie, Gareth Jones, Wenjie Li, Michael White, Anya Belz, Sina Zarrie, Friedrich Schiller, Universitt Jena, Fei Huang, Alibaba Academy, Sebastian Ruder, Deepmind Qiu, Fei Xia, Nicoletta Calzolari, Jong Park, Shujie Liu, Ding Liu, Mei Ling, Helen Meng, Kentaro Inui, Kallirroi Georgila, Girish Kumar, David Griol, Rhee Yoo, Justin Oh, Kristiina Dauwels, Lan Joki- Nen, Patrick Du, Yuki Paroubek, Kotaro Arase, Michael Funakoshi, Jin-Dong Mctear, Zoraida Kim, Lasguido Callejas and 1,691 more - 2020 cited by 1,422
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Authors: Guilherme Penedo, Hynek Kydlícek, Loubna Ben Allal, Anton Lozhkov, Margaret Mitchell, Colin A. Raffel, Leandro von Werra, Thomas Wolf - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 1,056
- The Stack: 3 TB of permissively licensed source code
Authors: Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries - Trans. Mach. Learn. Res. 2023 cited by 227
- Evaluating the Social Impact of Generative AI Systems in Systems and Society
Authors: Irene Solaiman, Zeerak Talat, William S. Agnew, Lama Ahmad, Dylan Baker, Su Lin Blodgett, Chen, Canyu, Hal Daumé, Jesse Dodge, Duan, Isabella, Evans, Ellie, Friedrich, Felix, Ghosh, Avijit, Gohar, Usman, Sara Hooker, Yacine Jernite, Kalluri, Ria, Alberto Lusoli, Leidinger, Alina, Lin, Michelle, Lin, Xiuzhu, Luccioni, Sasha, Mickel, Jennifer, Margaret Mitchell, Jessica Newman, Ovalle, Anaelia, Marie-Thérèse Png, Singh, Shubham, Andrew Strait, Struppek, Lukas, Subramonian, Arjun - arXiv (Cornell University), CoRR 2023 cited by 144
- Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
Authors: Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes - Conference on Fairness, FAT* 2020 cited by 1,004
- Stable Bias: Evaluating Societal Representations in Diffusion Models
Authors: Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 345
- From Captions to Visual Concepts and Back
Authors: Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 cited by 1,341
- Mitigating Unwanted Biases with Adversarial Learning
Authors: Brian Hu Zhang, Blake Lemoine, Margaret Mitchell - AAAI/ACM Conference on AI, AIES 2018 cited by 172
- Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Authors: Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner - Conference on Empirical Methods in Natural Language Processing, EMNLP (1) 2021 cited by 66
- The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Authors: Hugo Laurençon, Lucile Saulnier, Thomas J. Wang, Christopher Akiki, A. Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Du Nguyen, Jörg Frohberg, Mario Šaško, 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 Romero Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Vu Minh Chien, Itziar González-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suárez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilić, Margaret Mitchell, Luccioni, Sasha Alexandra, Yacine Jernite - NeurIPS 2022 cited by 217
- Fully Autonomous AI Agents Should Not be Developed
Authors: Margaret Mitchell, Avijit Ghosh, Alexandra Sasha Luccioni, Giada Pistilli - ArXiv.org, CoRR 2025 cited by 42
- CLPsych 2015 Shared Task: Depression and PTSD on Twitter
Authors: Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell - Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@HLT-NAACL 2015 cited by 322
- A Human Rights-Based Approach to Responsible AI
Authors: Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel - arXiv (Cornell University), CoRR 2022 cited by 44
- Toward an Evaluation Science for Generative AI Systems
Authors: Laura Weidinger, Inioluwa Deborah Raji, Hanna M. Wallach, Margaret Mitchell, Angelina Wang, Olawale Salaudeen, Rishi Bommasani, Deep Ganguli, Sanmi Koyejo, William Isaac - ArXiv.org, CoRR 2025 cited by 34
- Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Authors: Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell - Conference on Fairness, FAccT 2021 cited by 239
- Measuring Data
Authors: Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela - arXiv (Cornell University), CoRR 2022 cited by 37
- Spoken Language Derived Measures for Detecting Mild Cognitive Impairment
Authors: Brian Roark, Margaret Mitchell, John-Paul Hosom, Kristy Hollingshead, Jeffrey A. Kaye - IEEE Transactions on Audio Speech and Language Processing, IEEE Trans. Speech Audio Process. 2011 cited by 361
- Data Governance in the Age of Large-Scale Data-Driven Language Technology
Authors: 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 - ACM Conference on Fairness, FAccT 2022 cited by 44
- Detecting Bias with Generative Counterfactual Face Attribute Augmentation
Authors: Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru, Andrew Zaldivar - arXiv (Cornell University), CoRR 2019 cited by 97
- You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings
Authors: Zeerak Talat, Aurélie Névéol, Stella Biderman, Miruna Clinciu, Manan Dey, Shayne Longpre, Sasha Luccioni, Maraim Masoud, Margaret Mitchell, Dragomir Radev, Shanya Sharma, Arjun Subramonian, Jaesung Tae, Samson Tan, Deepak R. Tunuguntla, Oskar van der Wal - BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models, Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models 2022 cited by 62
- Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML
Authors: Giada Pistilli, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell - ACM Conference on Fairness Accountability and Transparency, FAccT 2023 cited by 21
