Vinodkumar Prabhakaran

According to our database, Vinodkumar Prabhakaran authored at least 70 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes.

Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev

CoRR, 2024

Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.

Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev

CoRR, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

J. Mach. Learn. Res., 2023

Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates.

Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran

CoRR, 2023

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata.

Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran

CoRR, 2023

A Framework to Assess (Dis)agreement Among Diverse Rater Groups.

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang

CoRR, 2023

A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity.

Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav

CoRR, 2023

Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety.

Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang

CoRR, 2023

MD3: The Multi-Dialect Dataset of Dialogues.

Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma

CoRR, 2023

The Reasonable Effectiveness of Diverse Evaluation Data.

Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang

CoRR, 2023

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement.

Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DICES Dataset: Diversity in Conversational AI Evaluation for Safety.

Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distinguishing Address vs. Reference Mentions of Personal Names in Text.

Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Melissa Ferguson, Stav Atir

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models.

Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations.

Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran

Trans. Assoc. Comput. Linguistics, 2022

Cultural Incongruencies in Artificial Intelligence.

Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson

CoRR, 2022

Cultural Re-contextualization of Fairness Research in Language Technologies in India.

Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran

CoRR, 2022

A Human Rights-Based Approach to Responsible AI.

Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel

CoRR, 2022

LaMDA: Language Models for Dialog Applications.

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le

CoRR, 2022

BeSt: The Belief and Sentiment Corpus.

Jennifer Tracey, Owen Rambow, Claire Cardie, Adam Dalton, Hoa Trang Dang, Mona T. Diab, Bonnie J. Dorr, Louise Guthrie, Magdalena Markowska, Smaranda Muresan, Vinodkumar Prabhakaran, Samira Shaikh, Tomek Strzalkowski

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Underspecification in Scene Description-to-Depiction Tasks.

Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Re-contextualizing Fairness in NLP: The Case of India.

Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Evaluation Gaps in Machine Learning Practice.

Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation.

Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Power to the People? Opportunities and Challenges for Participatory AI.

Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.

Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen

CoRR, 2021

Thinking Beyond Distributions in Testing Machine Learned Models.

Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran

CoRR, 2021

On Releasing Annotator-Level Labels and Information in Datasets.

Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz

CoRR, 2021

Cross-geographic Bias Detection in Toxicity Modeling.

Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran

CoRR, 2021

Learning to Recognize Dialect Features.

Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection.

Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Re-imagining Algorithmic Fairness in India and Beyond.

Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media.

Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020

Unintended machine learning biases as social barriers for persons with disabilitiess.

Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

ACM SIGACCESS Access. Comput., 2020

Non-portability of Algorithmic Fairness in India.

Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran

CoRR, 2020

Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context.

Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac

CoRR, 2020

Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics.

Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac

CoRR, 2020

Social Biases in NLP Models as Barriers for Persons with Disabilities.

Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020.

Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019

Socially Responsible Natural Language Processing.

Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Perturbation Sensitivity Analysis to Detect Unintended Model Biases.

Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Detecting Institutional Dialog Acts in Police Traffic Stops.

Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer L. Eberhardt, Dan Jurafsky

Trans. Assoc. Comput. Linguistics, 2018

Power Networks: A Novel Neural Architecture to Predict Power Relations.

Michelle Lam, Catherina Xu, Angela Kong, Vinodkumar Prabhakaran

CoRR, 2018

Socially Responsible NLP.

Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions.

Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

RtGender: A Corpus for Studying Differential Responses to Gender.

Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Power Networks: A Novel Neural Architecture to Predict Power Relations.

Michelle Lam, Catherina Xu, Vinodkumar Prabhakaran

Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2018

2017

Dialog Structure Through the Lens of Gender, Gender Environment, and Power.

Vinodkumar Prabhakaran, Owen Rambow

Dialogue Discourse, 2017

Computational Argumentation Quality Assessment in Natural Language.

Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, Benno Stein

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

How Powerful are You?: gSPIN: Bringing Power Analysis to Your Finger Tips.

Vinodkumar Prabhakaran, Michael Saltzman, Owen Rambow

Proceedings of the 25th International Conference on World Wide Web, 2016

A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels.

Vinodkumar Prabhakaran, Owen Rambow

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing.

Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

A New Dataset and Evaluation for Belief/Factuality.

Vinodkumar Prabhakaran, Tomas By, Julia Hirschberg, Owen Rambow, Samira Shaikh, Tomek Strzalkowski, Jennifer Tracey, Michael Arrigo, Rupayan Basu, Micah Clark, Adam Dalton, Mona T. Diab, Louise Guthrie, Anna Prokofieva, Stephanie M. Strassel, Gregory Werner, Yorick Wilks, Janyce Wiebe

Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

Learning Structures of Negations from Flat Annotations.

Vinodkumar Prabhakaran, Branimir Boguraev

Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

2014

Gender and Power: How Gender and Gender Environment Affect Manifestations of Power.

Vinodkumar Prabhakaran, Emily E. Reid, Owen Rambow

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Staying on Topic: An Indicator of Power in Political Debates.

Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Predicting Power Relations between Participants in Written Dialog from a Single Thread.

Vinodkumar Prabhakaran, Owen Rambow

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Power of Confidence: How Poll Scores Impact Topic Dynamics in Political Debates.

Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow

Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

2013

Power dynamics in spoken interactions: a case study on 2012 republican primary debates.

Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann

Proceedings of the 22nd International World Wide Web Conference, 2013

Improving the Quality of Minority Class Identification in Dialog Act Tagging.

Adinoyi Omuya, Vinodkumar Prabhakaran, Owen Rambow

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior.

Vinodkumar Prabhakaran, Owen Rambow

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power.

Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

2012

Predicting Overt Display of Power in Written Dialogs.

Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Annotations for Power Relations on Email Threads.

Vinodkumar Prabhakaran, Huzaifa Neralwala, Owen Rambow, Mona T. Diab

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Relation Mining in the Biomedical Domain using Entity-level Semantics.

Kateryna Tymoshenko, Swapna Somasundaran, Vinodkumar Prabhakaran, Vinay D. Shet

Proceedings of the ECAI 2012, 2012

Who's (Really) the Boss? Perception of Situational Power in Written Interactions.

Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab

Proceedings of the COLING 2012, 2012

Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing.

Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme

Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, 2012

2010

Uncertainty Learning Using SVMs and CRFs.

Vinodkumar Prabhakaran

Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010

Automatic Committed Belief Tagging.

Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab

Proceedings of the COLING 2010, 2010

2009

Committed Belief Annotation and Tagging.

Mona T. Diab, Lori S. Levin, Teruko Mitamura, Owen Rambow, Vinodkumar Prabhakaran, Weiwei Guo

Proceedings of the Third Linguistic Annotation Workshop, 2009