Use of Series Parallel Digraph Analysis in Generating Instructions for Multiple Users. - Margaret Mitchell (VIP, 2000)

Use of Directed Acyclic Graph Analysis in Generating Instructions for Multiple Users. - Margaret Mitchell (InVis.au, 2001)

Creating Minimal Vertex Series Parallel Graphs from Directed Acyclic Graphs. - Margaret Mitchell (InVis.au, 2004)

Syntactic complexity measures for detecting Mild Cognitive Impairment. - Brian Roark; Margaret Mitchell; Kristy Hollingshead (BioNLP@ACL, 2007)

Class-Based Ordering of Prenominal Modifiers. - Margaret Mitchell (ENLG, 2009)

A Flexible Approach to Class-Based Ordering of Prenominal Modifiers. - Margaret Mitchell (Empirical Methods in Natural Language Generation, 2010)

Natural Reference to Objects in a Visual Domain. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (INLG, 2010)

Prenominal Modifier Ordering via Multiple Sequence Alignment. - Aaron Dunlop; Margaret Mitchell; Brian Roark (HLT-NAACL, 2010)

Semi-Supervised Modeling for Prenominal Modifier Ordering. - Margaret Mitchell; Aaron Dunlop; Brian Roark (ACL (2), 2011)

On the Use of Size Modifiers When Referring to Visible Objects. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (CogSci, 2011)

Two Approaches for Generating Size Modifiers. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (ENLG, 2011)

Spoken Language Derived Measures for Detecting Mild Cognitive Impairment. - Brian Roark; Margaret Mitchell; John-Paul Hosom; Kristy Hollingshead; Jeffrey A. Kaye (IEEE Trans. Speech Audio Process., 2011)

Understanding and predicting importance in images. - Alexander C. Berg; Tamara L. Berg; Hal Daumé III; Jesse Dodge; Amit Goyal 001; Xufeng Han; Alyssa C. Mensch; Margaret Mitchell; Aneesh Sood; Karl Stratos; Kota Yamaguchi (CVPR, 2012)

Midge: Generating Image Descriptions From Computer Vision Detections. - Margaret Mitchell; Jesse Dodge; Amit Goyal 001; Kota Yamaguchi; Karl Stratos; Xufeng Han; Alyssa C. Mensch; Alexander C. Berg; Tamara L. Berg; Hal Daumé III (EACL, 2012)

Midge: Generating Descriptions of Images. - Margaret Mitchell; Xufeng Han; Jeff Hayes (INLG, 2012)

Detecting Visual Text. - Jesse Dodge; Amit Goyal 001; Xufeng Han; Alyssa C. Mensch; Margaret Mitchell; Karl Stratos; Kota Yamaguchi; Yejin Choi 001; Hal Daumé III; Alexander C. Berg; Tamara L. Berg (HLT-NAACL, 2012)

Discourse-Based Modeling for AAC. - Margaret Mitchell; Richard Sproat (SLPAT@HLT-NAACL, 2012)

Typicality and Object Reference. - Margaret Mitchell; Ehud Reiter; Kees van Deemter (CogSci, 2013)

Open Domain Targeted Sentiment. - Margaret Mitchell; Jacqui Aguilar; Theresa Wilson; Benjamin Van Durme (EMNLP, 2013)

Graphs and Spatial Relations in the Generation of Referring Expressions. - Jette Viethen; Margaret Mitchell; Emiel Krahmer (ENLG, 2013)

Generating Expressions that Refer to Visible Objects. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (HLT-NAACL, 2013)

Overview of the TAC2013 Knowledge Base Population Evaluation: English Sentiment Slot Filling. - Margaret Mitchell (TAC, 2013)

Generating reference to visible objects. - Margaret Mitchell (2013)

I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes. - Charley Beller; Rebecca Knowles; Craig Harman; Shane Bergsma; Margaret Mitchell; Benjamin Van Durme (ACL (2), 2014)

Low-Resource Semantic Role Labeling. - Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze (ACL (1), 2014)

Crowdsourcing Language Generation Templates for Dialogue Systems. - Margaret Mitchell; Dan Bohus; Ece Kamar (INLG, 2014)

Language Models for Image Captioning: The Quirks and What Works. - Jacob Devlin; Hao Cheng 002; Hao Fang 002; Saurabh Gupta 001; Li Deng 001; Xiaodong He 001; Geoffrey Zweig; Margaret Mitchell (ACL (2), 2015)

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. - Michel Galley; Chris Brockett; Alessandro Sordoni; Yangfeng Ji; Michael Auli; Chris Quirk; Margaret Mitchell; Jianfeng Gao 001; Bill Dolan (ACL (2), 2015)

From captions to visual concepts and back. - Hao Fang 002; Saurabh Gupta 001; Forrest N. Iandola; Rupesh Kumar Srivastava; Li Deng 001; Piotr Dollár; Jianfeng Gao 001; Xiaodong He 001; Margaret Mitchell; John C. Platt; C. Lawrence Zitnick; Geoffrey Zweig (CVPR, 2015)

A Survey of Current Datasets for Vision and Language Research. - Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao (Kenneth) Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell (EMNLP, 2015)

VQA: Visual Question Answering. - Stanislaw Antol; Aishwarya Agrawal; Jiasen Lu; Margaret Mitchell; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (ICCV, 2015)

CLPsych 2015 Shared Task: Depression and PTSD on Twitter. - Glen Coppersmith; Mark Dredze; Craig Harman; Kristy Hollingshead; Margaret Mitchell (CLPsych@HLT-NAACL, 2015)

Quantifying the Language of Schizophrenia in Social Media. - Margaret Mitchell; Kristy Hollingshead; Glen Coppersmith (CLPsych@HLT-NAACL, 2015)

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. - Alessandro Sordoni; Michel Galley; Michael Auli; Chris Brockett; Yangfeng Ji; Margaret Mitchell; Jian-Yun Nie; Jianfeng Gao 001; Bill Dolan (HLT-NAACL, 2015)

Exploring Nearest Neighbor Approaches for Image Captioning. - Jacob Devlin; Saurabh Gupta 001; Ross B. Girshick; Margaret Mitchell; C. Lawrence Zitnick (CoRR, 2015)

On Available Corpora for Empirical Methods in Vision & Language. - Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao (Kenneth) Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell (CoRR, 2015)

Learning Visual Classifiers using Human-centric Annotations. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CoRR, 2015)

Microsummarization of Online Reviews: An Experimental Study. - Rebecca Mason; Benjamin Gaska; Benjamin Van Durme; Pallavi Choudhury; Ted Hart; Bill Dolan; Kristina Toutanova; Margaret Mitchell (AAAI, 2016)

Generating Natural Questions About an Image. - Nasrin Mostafazadeh; Ishan Misra; Jacob Devlin; Margaret Mitchell; Xiaodong He 001; Lucy Vanderwende (ACL (1), 2016)

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CVPR, 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

Measuring Machine Intelligence Through Visual Question Answering. - C. Lawrence Zitnick; Aishwarya Agrawal; Stanislaw Antol; Margaret Mitchell; Dhruv Batra; Devi Parikh (AI Mag., 2016)

Memory-augmented Attention Modelling for Videos. - Rasool Fakoor; Abdel-rahman Mohamed; Margaret Mitchell; Sing Bing Kang; Pushmeet Kohli (CoRR, 2016)

Generating Natural Questions About an Image. - Nasrin Mostafazadeh; Ishan Misra; Jacob Devlin; Larry Zitnick; Margaret Mitchell; Xiaodong He 001; Lucy Vanderwende (CoRR, 2016)

Large Scale Retrieval and Generation of Image Descriptions. - Vicente Ordonez; Xufeng Han; Polina Kuznetsova; Girish Kulkarni; Margaret Mitchell; Kota Yamaguchi; Karl Stratos; Amit Goyal 001; Jesse Dodge; Alyssa C. Mensch; Hal Daumé III; Alexander C. Berg; et al. (Int. J. Comput. Vis., 2016)

Multitask Learning for Mental Health Conditions with Limited Social Media Data. - Adrian Benton; Margaret Mitchell; Dirk Hovy (EACL (1), 2017)

Improving Smiling Detection with Race and Gender Diversity. - Hee Jung Ryu; Margaret Mitchell; Hartwig Adam (CoRR, 2017)

Multi-Task Learning for Mental Health using Social Media Text. - Adrian Benton; Margaret Mitchell; Dirk Hovy (CoRR, 2017)

VQA: Visual Question Answering - www.visualqa.org. - Aishwarya Agrawal; Jiasen Lu; Stanislaw Antol; Margaret Mitchell; C. Lawrence Zitnick; Devi Parikh; Dhruv Batra (Int. J. Comput. Vis., 2017)

Guest Editorial: Image and Language Understanding. - Margaret Mitchell; John C. Platt; Kate Saenko (Int. J. Comput. Vis., 2017)

Mitigating Unwanted Biases with Adversarial Learning. - Brian Hu Zhang; Blake Lemoine; Margaret Mitchell (AIES, 2018)

Perturbation Sensitivity Analysis to Detect Unintended Model Biases. - Vinodkumar Prabhakaran; Ben Hutchinson; Margaret Mitchell (EMNLP/IJCNLP (1), 2019)

50 Years of Test (Un)fairness: Lessons for Machine Learning. - Ben Hutchinson; Margaret Mitchell (FAT, 2019)

Model Cards for Model Reporting. - Margaret Mitchell; Simone Wu; Andrew Zaldivar; Parker Barnes; Lucy Vasserman; Ben Hutchinson; Elena Spitzer; Inioluwa Deborah Raji; Timnit Gebru (FAT, 2019)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. - Sarah Bird; Krishnaram Kenthapadi; Emre Kiciman; Margaret Mitchell (WSDM, 2019)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. - Sarah Bird; Ben Hutchinson; Krishnaram Kenthapadi; Emre Kiciman; Margaret Mitchell (WWW (Companion Volume), 2019)

Detecting Bias with Generative Counterfactual Face Attribute Augmentation. - Emily Denton; Ben Hutchinson; Margaret Mitchell; Timnit Gebru (CoRR, 2019)

Interpreting Social Respect: A Normative Lens for ML Models. - Ben Hutchinson; K. J. Pittl; Margaret Mitchell (CoRR, 2019)

Diversity and Inclusion Metrics in Subset Selection. - Margaret Mitchell; Dylan K. Baker; Nyalleng Moorosi; Emily Denton; Ben Hutchinson; Alex Hanna; Timnit Gebru; Jamie Morgenstern (AIES, 2020)

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. - Inioluwa Deborah Raji; Timnit Gebru; Margaret Mitchell; Joy Buolamwini; Joonseok Lee; Emily Denton (AIES, 2020)

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. - Inioluwa Deborah Raji; Andrew Smart; Rebecca N. White; Margaret Mitchell; Timnit Gebru; Ben Hutchinson; Jamila Smith-Loud; Daniel Theron; Parker Barnes (FAT*, 2020)

Measuring Model Biases in the Absence of Ground Truth. - Osman Aka; Ken Burke; Alex Bäuerle; Christina Greer; Margaret Mitchell (AIES, 2021)

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. - Jesse Dodge; Maarten Sap; Ana Marasovic; William Agnew; Gabriel Ilharco; Dirk Groeneveld; Margaret Mitchell; Matt Gardner 001 (EMNLP (1), 2021)

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. - Ben Hutchinson; Andrew Smart; Alex Hanna; Emily Denton; Christina Greer; Oddur Kjartansson; Parker Barnes; Margaret Mitchell (FAccT, 2021)

SEAL: Interactive Tool for Systematic Error Analysis and Labeling. - Nazneen Rajani; Weixin Liang; Lingjiao Chen; Margaret Mitchell; James Zou 001 (EMNLP (Demos), 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Isaac Johnson 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 2022)

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. - 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; et al. (NeurIPS, 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - 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; et al. (CoRR, 2022)

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. - 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; et al. (CoRR, 2022)

A Human Rights-Based Approach to Responsible AI. - Vinodkumar Prabhakaran; Margaret Mitchell; Timnit Gebru; Iason Gabriel (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - 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; et al. (CoRR, 2022)

Measuring Data. - Margaret Mitchell; Alexandra Sasha Luccioni; Nathan Lambert 001; Marissa Gerchick; Angelina McMillan-Major; Ezinwanne Ozoani; Nazneen Rajani; Tristan Thrush; Yacine Jernite; Douwe Kiela (CoRR, 2022)

Algorithmic fairness in pandemic forecasting: lessons from COVID-19. - Thomas C. Tsai; Sercan Ö. Arik; Benjamin H. Jacobson; Jinsung Yoon; Nate Yoder; Dario Sava; Margaret Mitchell; Garth Graham; Tomas Pfister (npj Digit. Medicine, 2022)

Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML. - Giada Pistilli; Carlos Muñoz Ferrandis; Yacine Jernite; Margaret Mitchell (FAccT, 2023)

Stable Bias: Evaluating Societal Representations in Diffusion Models. - Sasha Luccioni; Christopher Akiki; Margaret Mitchell; Yacine Jernite (NeurIPS, 2023)

Stable Bias: Analyzing Societal Representations in Diffusion Models. - Alexandra Sasha Luccioni; Christopher Akiki; Margaret Mitchell; Yacine Jernite (CoRR, 2023)

Evaluating the Social Impact of Generative AI Systems in Systems and Society. - 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; et al. (CoRR, 2023)

The Stack: 3 TB of permissively licensed source code. - Denis Kocetkov; Raymond Li; Loubna Ben Allal; Jia Li 015; Chenghao Mou; Yacine Jernite; Margaret Mitchell; Carlos Muñoz Ferrandis; Sean Hughes; Thomas Wolf 008; Dzmitry Bahdanau; Leandro von Werra; et al. (Trans. Mach. Learn. Res., 2023)

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. - Giada Pistilli; Alina Leidinger; Yacine Jernite; Atoosa Kasirzadeh; Alexandra Sasha Luccioni; Margaret Mitchell (AIES (1), 2024)

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale. - Guilherme Penedo; Hynek Kydlícek; Loubna Ben Allal; Anton Lozhkov; Margaret Mitchell; Colin A. Raffel; Leandro von Werra; Thomas Wolf 008 (NeurIPS, 2024)

Constructing the CORD-19 Vaccine Dataset. - Manisha Singh; Divy Sharma; Alonso Ma; Bridget Tyree; Margaret Mitchell (CoRR, 2024)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)

Fully Autonomous AI Agents Should Not be Developed. - Margaret Mitchell; Avijit Ghosh; Alexandra Sasha Luccioni; Giada Pistilli (CoRR, 2025)

Stop treating 'AGI' as the north-star goal of AI research. - Borhane Blili-Hamelin; Christopher Graziul; Leif Hancox-Li; Hananel Hazan; El-Mahdi El-Mhamdi; Avijit Ghosh; Katherine A. Heller; Jacob Metcalf; Fabricio Murai; Eryk Salvaggio; Andrew Smart; Todd Snider; et al. (CoRR, 2025)

Toward an Evaluation Science for Generative AI Systems. - Laura Weidinger; Inioluwa Deborah Raji; Hanna M. Wallach; Margaret Mitchell; Angelina Wang; Olawale Salaudeen; Rishi Bommasani; Deep Ganguli; Sanmi Koyejo; William Isaac 001 (CoRR, 2025)

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor. - Alexandra Olteanu; Su Lin Blodgett; Agathe Balayn; Angelina Wang; Fernando Diaz 001; Flávio du Pin Calmon; Margaret Mitchell; Michael D. Ekstrand; Reuben Binns; Solon Barocas (CoRR, 2025)