Margaret Mitchell
34 papers · 2010–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (15) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(36)
π₯
Mega-Team
(54)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Century Club
(34)
π₯
Unstoppable
(10)
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(84)
π
Trend Setter
Conferences
ACL (9)
NAACL (8)
EMNLP (5)
IJCNLP (3)
NIPS (3)
CVPR (2)
EACL (2)
ICCV (1)
ICML (1)
Top co-authors
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 βAGIβ 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
Iβm 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