Vinodkumar Prabhakaran

122 papers A* 8A 3B 7C 1Journal 64Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Framework to Quantify Cultural Intelligence of AI. CoRR Sunipa Dev, Vinodkumar Prabhakaran, Rutledge Chin Feman, Aida Mostafazadeh Davani, Remi Denton, Charu Kalia, Piyawat Lertvittayakumjorn, Madhurima Maji, Rida Qadri, Negar Rostamzadeh, Renee Shelby, Romina Stella, Hayk Stepanyan, Erin van Liemt, Aishwarya Verma, Oscar Wahltinez, Edem Wornyo, Andrew Zaldivar, Saska Mojsilovic
2026	J	`jnl`	Cultural Compass: A Framework for Organizing Societal Norms to Detect Violations in Human-AI Conversations. CoRR Myra Cheng, Vinodkumar Prabhakaran, Alice Oh, Hayk Stepanyan, Aishwarya Verma, Charu Kalia, Erin MacMurray van Liemt, Sunipa Dev
2026	J	`jnl`	Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity. Trans. Mach. Learn. Res. Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2026	—	`conf`	SAFARI: A Community-Engaged Approach and Dataset of Stereotype Resources in the Sub-Saharan African Context. EACL (Volume 2: Short Papers) Aishwarya Verma, Laud Ammah, Olivia Nercy Ndlovu Lucas, Andrew Zaldivar, Vinodkumar Prabhakaran, Sunipa Dev
2026	J	`jnl`	SAFARI: A Community-Engaged Approach and Dataset of Stereotype Resources in the Sub-Saharan African Context. CoRR Aishwarya Verma, Laud Ammah, Olivia Nercy Ndlovu Lucas, Andrew Zaldivar, Vinodkumar Prabhakaran, Sunipa Dev
2026	—	`conf`	Scaling Cultural Resources for Improving Generative Models. EACL (Findings) Hayk Stepanyan, Aishwarya Verma, Andrew Zaldivar, Rutledge Chin Feman, Erin MacMurray van Liemt, Charu Kalia, Vinodkumar Prabhakaran, Sunipa Dev
2025	J	`jnl`	"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. CoRR Ding Wang, Mark Díaz, Charvi Rastogi, Aida Mostafazadeh Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo
2025	A*	`conf`	A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations. EMNLP Aida Mostafazadeh Davani, Sunipa Dev, Héctor Pérez-Urbina, Vinodkumar Prabhakaran
2025	J	`jnl`	A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations. CoRR Aida Mostafazadeh Davani, Sunipa Dev, Héctor Pérez-Urbina, Vinodkumar Prabhakaran
2025	J	`jnl`	Adaptive Data Collection for Latin-American Community-sourced Evaluation of Stereotypes (LACES). CoRR Guido Ivetta, Pietro Palombini, Sofía Martinelli, Marcos J. Gomez, Sunipa Dev, Vinodkumar Prabhakaran, Luciana Benotti
2025	J	`jnl`	Humanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globally. CoRR Robin Schimmelpfennig, Mark Díaz, Vinodkumar Prabhakaran, Aida Mostafazadeh Davani
2025	J	`jnl`	Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. CoRR Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2025	J	`jnl`	Risks of Cultural Erasure in Large Language Models. CoRR Rida Qadri, Aida Mostafazadeh Davani, Kevin Robinson, Vinodkumar Prabhakaran
2025	J	`jnl`	Scaling Cultural Resources for Improving Generative Models. CoRR Hayk Stepanyan, Aishwarya Verma, Andrew Zaldivar, Rutledge Chin Feman, Erin MacMurray van Liemt, Charu Kalia, Vinodkumar Prabhakaran, Sunipa Dev
2025	J	`jnl`	Taxonomy of User Needs and Actions. CoRR Renee Shelby, Fernando Diaz, Vinodkumar Prabhakaran
2025	—	`conf`	Towards Geo-Culturally Grounded LLM Generations. ACL (2) Piyawat Lertvittayakumjorn, David Kinney, Vinodkumar Prabhakaran, Donald Martin Jr., Sunipa Dev
2025	J	`jnl`	Towards Geo-Culturally Grounded LLM Generations. CoRR Piyawat Lertvittayakumjorn, David Kinney, Vinodkumar Prabhakaran, Donald Martin Jr., Sunipa Dev
2025	J	`jnl`	Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. CoRR Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Díaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo
2024	J	`jnl`	(Unfair) Norms in Fairness Research: A Meta-Analysis. CoRR Jennifer Chien, A. Stevie Bergman, Kevin R. McKee, Nenad Tomasev, Vinodkumar Prabhakaran, Rida Qadri, Nahema Marchal, William Isaac
2024	A*	`conf`	Beyond Aesthetics: Cultural Competence in Text-to-Image Models. NeurIPS Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave
2024	J	`jnl`	Beyond Aesthetics: Cultural Competence in Text-to-Image Models. CoRR Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave
2024	J	`jnl`	Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
2024	J	`jnl`	Coming into relations: How communication reveals and persuades relational decisions. Soc. Networks Daniel A. McFarland, David Broska, Vinodkumar Prabhakaran, Dan Jurafsky
2024	A*	`conf`	D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. EMNLP Aida Mostafazadeh Davani, Mark Diaz, Dylan K. Baker, Vinodkumar Prabhakaran
2024	J	`jnl`	D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. CoRR Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
2024	—	`conf`	Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. FAccT Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
2024	—	`conf`	GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. NAACL-HLT Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García
2024	J	`jnl`	GeniL: A Multilingual Dataset on Generalizing Language. CoRR Aida Mostafazadeh Davani, Sagar Gubbi, Sunipa Dev, Shachi Dave, Vinodkumar Prabhakaran
2024	J	`jnl`	Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. CoRR Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2024	J	`jnl`	SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. CoRR Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev
2024	—	`conf`	SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. AIES (1) Mark Diaz, Sunipa Dev, Emily Reif, Emily Denton, Vinodkumar Prabhakaran
2024	—	`conf`	ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
2023	J	`jnl`	A Framework to Assess (Dis)agreement Among Diverse Rater Groups. CoRR Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang
2023	J	`jnl`	A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity. CoRR Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav
2023	A*	`conf`	Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. NeurIPS Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
2023	J	`jnl`	Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. CoRR Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
2023	A*	`conf`	DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang
2023	J	`jnl`	DICES Dataset: Diversity in Conversational AI Evaluation for Safety. CoRR Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang
2023	J	`jnl`	Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. CoRR Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
2023	—	`conf`	Distinguishing Address vs. Reference Mentions of Personal Names in Text. ACL (Findings) Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Melissa Ferguson, Stav Atir
2023	J	`jnl`	Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety. CoRR Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang
2023	A	`conf`	MD3: The Multi-Dialect Dataset of Dialogues. INTERSPEECH Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
2023	J	`jnl`	MD3: The Multi-Dialect Dataset of Dialogues. CoRR Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
2023	J	`jnl`	PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 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
2023	—	`conf`	SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. ACL (1) Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
2023	J	`jnl`	SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. CoRR Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
2023	J	`jnl`	SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. CoRR Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran
2023	J	`jnl`	The Reasonable Effectiveness of Diverse Evaluation Data. CoRR Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang
2022	J	`jnl`	A Human Rights-Based Approach to Responsible AI. CoRR Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel
2022	B	`conf`	BeSt: The Belief and Sentiment Corpus. LREC 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
2022	—	`conf`	CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. FAccT Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton
2022	J	`jnl`	CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. CoRR Mark Diaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton
2022	J	`jnl`	Cultural Incongruencies in Artificial Intelligence. CoRR Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson
2022	J	`jnl`	Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
2022	J	`jnl`	Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. Trans. Assoc. Comput. Linguistics Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran
2022	—	`conf`	Evaluation Gaps in Machine Learning Practice. FAccT Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
2022	J	`jnl`	Evaluation Gaps in Machine Learning Practice. CoRR Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
2022	C	`conf`	Inheriting Discrimination: Datafication Encounters of Marginalized Workers. ICTD Azhagu Meena, Rajesh Veeraraghavan, Shivani Kapania, Vinodkumar Prabhakaran, Vivek Srinivasan, Nithya Sambasivan
2022	J	`jnl`	LaMDA: Language Models for Dialog Applications. CoRR 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
2022	J	`jnl`	PaLM: Scaling Language Modeling with Pathways. CoRR 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
2022	—	`conf`	Power to the People? Opportunities and Challenges for Participatory AI. EAAMO Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed
2022	J	`jnl`	Power to the People? Opportunities and Challenges for Participatory AI. CoRR Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Díaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed
2022	—	`conf`	Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
2022	J	`jnl`	Re-contextualizing Fairness in NLP: The Case of India. CoRR Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
2022	—	`conf`	Underspecification in Scene Description-to-Depiction Tasks. AACL/IJCNLP (1) Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran
2022	J	`jnl`	Underspecification in Scene Description-to-Depiction Tasks. CoRR Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran
2021	J	`jnl`	Cross-geographic Bias Detection in Toxicity Modeling. CoRR Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran
2021	J	`jnl`	Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. CoRR Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran
2021	—	`conf`	Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. W-NUT Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran
2021	A	`conf`	How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. ICWSM Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
2021	J	`jnl`	How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. CoRR Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
2021	—	`conf`	Learning to Recognize Dialect Features. NAACL-HLT Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
2021	J	`jnl`	On Releasing Annotator-Level Labels and Information in Datasets. CoRR Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz
2021	—	`conf`	Re-imagining Algorithmic Fairness in India and Beyond. FAccT Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
2021	J	`jnl`	Re-imagining Algorithmic Fairness in India and Beyond. CoRR Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
2021	J	`jnl`	Thinking Beyond Distributions in Testing Machine Learned Models. CoRR Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran
2021	J	`jnl`	Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. CoRR Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen
2020	J	`jnl`	Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context. CoRR Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac
2020	J	`jnl`	Learning to Recognize Dialect Features. CoRR Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
2020	J	`jnl`	Non-portability of Algorithmic Fairness in India. CoRR Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran
2020	—	`conf`	Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020. WOAH Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen
2020	J	`jnl`	Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics. CoRR Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac
2020	—	`ed.`	Proceedings of the Fourth Workshop on Online Abuse and Harms, WOAH 2020, Online, November 20, 2020 WOAH Seyi Akiwowo, Bertie Vidgen, Vinodkumar Prabhakaran, Zeerak Waseem
2020	A*	`conf`	Social Biases in NLP Models as Barriers for Persons with Disabilities. ACL Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
2020	J	`jnl`	Social Biases in NLP Models as Barriers for Persons with Disabilities. CoRR Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
2020	J	`jnl`	Unintended machine learning biases as social barriers for persons with disabilitiess. ACM SIGACCESS Access. Comput. Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
2019	—	`conf`	Perturbation Sensitivity Analysis to Detect Unintended Model Biases. EMNLP/IJCNLP (1) Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
2019	J	`jnl`	Perturbation Sensitivity Analysis to Detect Unintended Model Biases. CoRR Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
2019	—	`conf`	Socially Responsible Natural Language Processing. WWW (Companion Volume) Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt
2018	—	`conf`	Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. NAACL-HLT Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow
2018	J	`jnl`	Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. CoRR Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow
2018	J	`jnl`	Detecting Institutional Dialog Acts in Police Traffic Stops. Trans. Assoc. Comput. Linguistics Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer L. Eberhardt, Dan Jurafsky
2018	—	`conf`	Power Networks: A Novel Neural Architecture to Predict Power Relations. LaTeCH@COLING Michelle S. Lam, Catherina Xu, Vinodkumar Prabhakaran
2018	J	`jnl`	Power Networks: A Novel Neural Architecture to Predict Power Relations. CoRR Michelle S. Lam, Catherina Xu, Angela Kong, Vinodkumar Prabhakaran
2018	—	`ed.`	Proceedings of the 2nd Workshop on Abusive Language Online, ALW@EMNLP 2018, Brussels, Belgium, October 31, 2018 ALW Darja Fiser, Ruihong Huang, Vinodkumar Prabhakaran, Rob Voigt, Zeerak Waseem, Jacqueline Wernimont
2018	B	`conf`	RtGender: A Corpus for Studying Differential Responses to Gender. LREC Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov
2018	—	`conf`	Socially Responsible NLP. NAACL-HLT (Tutorial Abstracts) Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt
2017	—	`conf`	Computational Argumentation Quality Assessment in Natural Language. EACL (1) Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, Benno Stein
2017	J	`jnl`	Dialog Structure Through the Lens of Gender, Gender Environment, and Power. CoRR Vinodkumar Prabhakaran, Owen Rambow
2017	J	`jnl`	Dialog Structure Through the Lens of Gender, Gender Environment, and Power. Dialogue Discourse Vinodkumar Prabhakaran, Owen Rambow
2016	B	`conf`	A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels. LREC Vinodkumar Prabhakaran, Owen Rambow
2016	—	`conf`	How Powerful are You?: gSPIN: Bringing Power Analysis to Your Finger Tips. WWW (Companion Volume) Vinodkumar Prabhakaran, Michael Saltzman, Owen Rambow
2016	—	`conf`	Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. ACL (1) Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky
2015	—	`conf`	A New Dataset and Evaluation for Belief/Factuality. *SEM@NAACL-HLT 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
2015	—	`conf`	Learning Structures of Negations from Flat Annotations. *SEM@NAACL-HLT Vinodkumar Prabhakaran, Branimir Boguraev
2015	J	`jnl`	Statistical modality tagging from rule-based annotations and crowdsourcing. CoRR Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme
2014	A*	`conf`	Gender and Power: How Gender and Gender Environment Affect Manifestations of Power. EMNLP Vinodkumar Prabhakaran, Emily E. Reid, Owen Rambow
2014	—	`conf`	Power of Confidence: How Poll Scores Impact Topic Dynamics in Political Debates. LTCSS@ACL Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow
2014	—	`conf`	Predicting Power Relations between Participants in Written Dialog from a Single Thread. ACL (2) Vinodkumar Prabhakaran, Owen Rambow
2014	A*	`conf`	Staying on Topic: An Indicator of Power in Political Debates. EMNLP Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow
2013	—	`conf`	Improving the Quality of Minority Class Identification in Dialog Act Tagging. HLT-NAACL Adinoyi Omuya, Vinodkumar Prabhakaran, Owen Rambow
2013	—	`conf`	Power dynamics in spoken interactions: a case study on 2012 republican primary debates. WWW (Companion Volume) Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann
2013	B	`conf`	Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power. IJCNLP Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann
2013	B	`conf`	Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior. IJCNLP Vinodkumar Prabhakaran, Owen Rambow
2012	B	`conf`	Annotations for Power Relations on Email Threads. LREC Vinodkumar Prabhakaran, Huzaifa Neralwala, Owen Rambow, Mona T. Diab
2012	—	`conf`	Predicting Overt Display of Power in Written Dialogs. HLT-NAACL Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab
2012	A	`conf`	Relation Mining in the Biomedical Domain using Entity-level Semantics. ECAI Kateryna Tymoshenko, Swapna Somasundaran, Vinodkumar Prabhakaran, Vinay D. Shet
2012	—	`conf`	Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. ExProM@ACL Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme
2012	B	`conf`	Who's (Really) the Boss? Perception of Situational Power in Written Interactions. COLING Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab
2010	—	`conf`	Automatic Committed Belief Tagging. COLING (Posters) Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab
2010	—	`conf`	Uncertainty Learning Using SVMs and CRFs. CoNLL Shared Task Vinodkumar Prabhakaran
2009	—	`conf`	Committed Belief Annotation and Tagging. Linguistic Annotation Workshop Mona T. Diab, Lori S. Levin, Teruko Mitamura, Owen Rambow, Vinodkumar Prabhakaran, Weiwei Guo