← Authors

Margaret Mitchell

34 papers · 2010–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (36) πŸ‘₯ Mega-Team (54) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ’Ž Century Club (34) πŸ”₯ Unstoppable (10) ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (84) πŸ“ˆ Trend Setter

Conferences

ACL (9) NAACL (8) EMNLP (5) IJCNLP (3) NIPS (3) CVPR (2) EACL (2) ICCV (1) ICML (1)

Top co-authors

Michel Galley (5) Xiaodong He (5) Jacob Devlin (5) Francis Ferraro (4) Jianfeng Gao (4) Ishan Misra (4) Jesse Dodge (4) C. Lawrence Zitnick (4) Chris Brockett (3) Geoffrey Zweig (3)

Keywords

large language model (3) text classification (2) text corpus (2) named entity (2) image captioning (2) sentiment analysis (2) model bia (2) multilingual language model (2) language model (2) bias evaluation (2) visual question answering (1) multimodal learning (1) language model training (1) toxicity detection (1) few-shot learning (1) named entity recognition (1) deep learning (1) social media analysis (1) natural language processing (1) multitask learning (1)

Papers

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models NAACL 2025
Position: Stop treating β€˜AGI’ as the north-star goal of AI research ICML 2025
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale NIPS 2024
Detecting Personal Information in Training Corpora: an Analysis ACL 2023
Stable Bias: Evaluating Societal Representations in Diffusion Models NIPS 2023
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset NIPS 2022
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings ACL 2022
SEAL: Interactive Tool for Systematic Error Analysis and Labeling EMNLP 2022
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus EMNLP 2021
Proceedings of the Second Workshop on Storytelling ACL 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases IJCNLP 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases EMNLP 2019
Proceedings of the First Workshop on Storytelling NAACL 2018
Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing NAACL 2018
Multitask Learning for Mental Health Conditions with Limited Social Media Data EACL 2017
Generating Natural Questions About an Image ACL 2016
Visual Storytelling NAACL 2016
Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets ACL 2015
From Captions to Visual Concepts and Back CVPR 2015
A Survey of Current Datasets for Vision and Language Research EMNLP 2015
VQA: Visual Question Answering ICCV 2015
Language Models for Image Captioning: The Quirks and What Works IJCNLP 2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets IJCNLP 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses NAACL 2015
Language Models for Image Captioning: The Quirks and What Works ACL 2015
I’m a Belieber: Social Roles via Self-identification and Conceptual Attributes ACL 2014
Low-Resource Semantic Role Labeling ACL 2014
Generating Expressions that Refer to Visible Objects NAACL 2013
Open Domain Targeted Sentiment EMNLP 2013
Midge: Generating Image Descriptions From Computer Vision Detections EACL 2012
Detecting Visual Text NAACL 2012
Semi-Supervised Modeling for Prenominal Modifier Ordering ACL 2011
Prenominal Modifier Ordering via Multiple Sequence Alignment NAACL 2010