Mark Díaz
11 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Mega-Team · Legion
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Prolific Year · Productive
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Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(6)
Machine Learning
(5)
Natural Language Processing
(5)
Application Areas
(5)
Applications
(3)
Interdisciplinary
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Social
(2)
Deep Learning
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Linguistics
(1)
Keywords
ai safety
(3)
human annotation
(2)
safety evaluation
(2)
conversational ai
(2)
dataset bia
(1)
label aggregation
(1)
text classification
(1)
group fairness
(1)
offensive language detection
(1)
crowdsourced annotation
(1)
language model
(1)
social bia
(1)
red teaming
(1)
word embedding
(1)
bias mitigation
(1)
sentiment analysis
(1)
social norm
(1)
annotation disagreement
(1)
offensive language
(1)
few-shot learning
(1)
Papers
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
EMNLP 2024
Diversity-Aware Annotation for Conversational AI Safety
COLING 2024
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
NAACL 2024
Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI
COLING 2024
STAR: SocioTechnical Approach to Red Teaming Language Models
EMNLP 2024
DICES Dataset: Diversity in Conversational AI Evaluation for Safety
NeurIPS 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Relationality and Offensive Speech: A Research Agenda
ACL 2023
Accounting for Offensive Speech as a Practice of Resistance
NAACL 2022
On Releasing Annotator-Level Labels and Information in Datasets
EMNLP 2021
Addressing Age-Related Bias in Sentiment Analysis
IJCAI 2019