Sotabase

Career

· Research Scientist, Google2018–
· Postdoctoral Researcher, Stanford University2015–2018
· Intern, Google2014–
· Research Intern, IBM Research2013–
· Research Intern, Avaya Labs2012–
· Research Intern, Siemens Research2011–
· PhD in Computer Science, Columbia University2010–2015
· Research Assistant, Columbia University2009–2015
· MS in Computer Science, Columbia University2008–2009
· Application Software Engineer, Tata Consultancy Services Ltd.2004–2008
· BTech in Computer Science and Engineering, Cochin University2000–2004

Publications (96)

PaLM: Scaling Language Modeling with Pathways
Journal of machine learning research · 2022
7,570
cited
LaMDA: Language Models for Dialog Applications
arXiv.org · 2022
1,808
cited
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
Transactions of the Association for Computational Linguistics · 2021
394
cited
Social Biases in NLP Models as Barriers for Persons with Disabilities
Annual Meeting of the Association for Computational Linguistics · 2020
354
cited
Power to the People? Opportunities and Challenges for Participatory AI
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization · 2022
322
cited
Language from police body camera footage shows racial disparities in officer respect
Proceedings of the National Academy of Sciences of the United States of America · 2017
317
cited
Computational Argumentation Quality Assessment in Natural Language
Conference of the European Chapter of the Association for Computational Linguistics · 2017
244
cited
Re-imagining Algorithmic Fairness in India and Beyond
Conference on Fairness, Accountability and Transparency · 2021
224
cited
On Releasing Annotator-Level Labels and Information in Datasets
Law · 2021
172
cited
Perturbation Sensitivity Analysis to Detect Unintended Model Biases
Conference on Empirical Methods in Natural Language Processing · 2019
127
cited
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation
Conference on Fairness, Accountability and Transparency · 2022
99
cited
Committed Belief Annotation and Tagging
Law · 2009
98
cited
RtGender: A Corpus for Studying Differential Responses to Gender
International Conference on Language Resources and Evaluation · 2018
79
cited
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation
arXiv.org · 2021
79
cited
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
Annual Meeting of the Association for Computational Linguistics · 2023
77
cited
Re-contextualizing Fairness in NLP: The Case of India
AACL · 2022
76
cited
Evaluation Gaps in Machine Learning Practice
Conference on Fairness, Accountability and Transparency · 2022
74
cited
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
arXiv.org · 2020
68
cited
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing
Annual Meeting of the Association for Computational Linguistics · 2016
64
cited
Automatic Committed Belief Tagging
International Conference on Computational Linguistics · 2010
63
cited
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