Vinodkumar Prabhakaran
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PaLM: Scaling Language Modeling with Pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
Language from police body camera footage shows racial disparities in officer respect
R Voigt, NP Camp, V Prabhakaran, WL Hamilton, RC Hetey, CM Griffiths, ...
Proceedings of the National Academy of Sciences 114 (25), 6521-6526, 2017
Lamda: Language models for dialog applications
R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ...
arXiv preprint arXiv:2201.08239, 2022
Computational Argumentation Quality Assessment in Natural Language
H Wachsmuth, N Naderi, Y Hou, Y Bilu, V Prabhakaran, TA Thijm, G Hirst, ...
Social Biases in NLP Models as Barriers for Persons with Disabilities
B Hutchinson, V Prabhakaran, E Denton, K Webster, Y Zhong, S Denuyl
ACL 2020, 2020
Committed belief annotation and tagging
MT Diab, L Levin, T Mitamura, O Rambow, V Prabhakaran, W Guo
Proceedings of the Third Linguistic Annotation Workshop (LAW), 68-73, 2009
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
AM Davani, M Díaz, V Prabhakaran
Transactions of the Association for Computational Linguistics 10, 92-110, 2022
Re-imagining algorithmic fairness in india and beyond
N Sambasivan, E Arnesen, B Hutchinson, T Doshi, V Prabhakaran
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
Perturbation Sensitivity Analysis to Detect Unintended Model Biases
V Prabhakaran, B Hutchinson, M Mitchell
EMNLP, 2019
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing
V Prabhakaran, WL Hamilton, D McFarland, D Jurafsky
Automatic committed belief tagging
V Prabhakaran, O Rambow, M Diab
23rd International Conference on Computational Linguistics (COLING): Posters …, 2010
RtGender: A corpus for studying differential responses to gender
R Voigt, D Jurgens, V Prabhakaran, D Jurafsky, Y Tsvetkov
Proceedings of the Eleventh International Conference on Language Resources …, 2018
Predicting Overt Display of Power in Written Dialogs
V Prabhakaran, O Rambow, M Diab
Human Language Technologies: The 2012 Annual Conference of the NAACL (North …, 2012
On Releasing Annotator-Level Labels and Information in Datasets
V Prabhakaran, AM Davani, M Díaz
The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing …, 2021
Bias and fairness in natural language processing
KW Chang, V Prabhakaran, V Ordonez
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
D Martin Jr, V Prabhakaran, J Kuhlberg, A Smart, WS Isaac
ICLR Workshop on Machine Learning in Real Life, 2020
Gender and Power: How Gender and Gender Environment Affect Manifestations of Power
V Prabhakaran, EE Reid, O Rambow
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Predicting Power Relations between Participants in Written Dialog from a Single Thread
V Prabhakaran, O Rambow
ACL 2014 (short papers), 2014
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
V Prabhakaran, M Bloodgood, M Diab, BJ Dorr, L Levin, C Piatko, ...
Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM …, 2012
Unintended Machine Learning Biases as Social Barriers for Persons with Disabilities
B Hutchinson, E Denton, K Webster, SC Denuyl, V Prabhakaran, Y Zhong
ASSETS Workshop on AI Fairness for People with Disabilities, 2019
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