Committed Belief Annotation and Tagging. - Mona T. Diab; Lori S. Levin; Teruko Mitamura; Owen Rambow; Vinodkumar Prabhakaran; Weiwei Guo (Linguistic Annotation Workshop, 2009)

Automatic Committed Belief Tagging. - Vinodkumar Prabhakaran; Owen Rambow; Mona T. Diab (COLING (Posters), 2010)

Uncertainty Learning Using SVMs and CRFs. - Vinodkumar Prabhakaran (CoNLL Shared Task, 2010)

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 (ExProM@ACL, 2012)

Who's (Really) the Boss? Perception of Situational Power in Written Interactions. - Vinodkumar Prabhakaran; Owen Rambow; Mona T. Diab (COLING, 2012)

Relation Mining in the Biomedical Domain using Entity-level Semantics. - Kateryna Tymoshenko; Swapna Somasundaran; Vinodkumar Prabhakaran; Vinay D. Shet (ECAI, 2012)

Annotations for Power Relations on Email Threads. - Vinodkumar Prabhakaran; Huzaifa Neralwala; Owen Rambow; Mona T. Diab (LREC, 2012)

Predicting Overt Display of Power in Written Dialogs. - Vinodkumar Prabhakaran; Owen Rambow; Mona T. Diab (HLT-NAACL, 2012)

Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power. - Vinodkumar Prabhakaran; Ajita John; Dorée D. Seligmann (IJCNLP, 2013)

Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior. - Vinodkumar Prabhakaran; Owen Rambow (IJCNLP, 2013)

Improving the Quality of Minority Class Identification in Dialog Act Tagging. - Adinoyi Omuya; Vinodkumar Prabhakaran; Owen Rambow (HLT-NAACL, 2013)

Power dynamics in spoken interactions: a case study on 2012 republican primary debates. - Vinodkumar Prabhakaran; Ajita John; Dorée D. Seligmann (WWW (Companion Volume), 2013)

Power of Confidence: How Poll Scores Impact Topic Dynamics in Political Debates. - Vinodkumar Prabhakaran; Ashima Arora; Owen Rambow (LTCSS@ACL, 2014)

Predicting Power Relations between Participants in Written Dialog from a Single Thread. - Vinodkumar Prabhakaran; Owen Rambow (ACL (2), 2014)

Staying on Topic: An Indicator of Power in Political Debates. - Vinodkumar Prabhakaran; Ashima Arora; Owen Rambow (EMNLP, 2014)

Gender and Power: How Gender and Gender Environment Affect Manifestations of Power. - Vinodkumar Prabhakaran; Emily E. Reid; Owen Rambow (EMNLP, 2014)

Learning Structures of Negations from Flat Annotations. - Vinodkumar Prabhakaran; Branimir Boguraev (*SEM@NAACL-HLT, 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 001; Mona T. Diab; et al. (*SEM@NAACL-HLT, 2015)

Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. - Vinodkumar Prabhakaran; William L. Hamilton; Daniel A. McFarland; Dan Jurafsky (ACL (1), 2016)

A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels. - Vinodkumar Prabhakaran; Owen Rambow (LREC, 2016)

How Powerful are You?: gSPIN: Bringing Power Analysis to Your Finger Tips. - Vinodkumar Prabhakaran; Michael Saltzman; Owen Rambow (WWW (Companion Volume), 2016)

Computational Argumentation Quality Assessment in Natural Language. - Henning Wachsmuth; Nona Naderi; Yufang Hou 001; Yonatan Bilu; Vinodkumar Prabhakaran; Tim Alberdingk Thijm; Graeme Hirst; Benno Stein 001 (EACL (1), 2017)

Dialog Structure Through the Lens of Gender, Gender Environment, and Power. - Vinodkumar Prabhakaran; Owen Rambow (Dialogue Discourse, 2017)

Dagstuhl-15512-ArgQuality. - Henning Wachsmuth; Nona Naderi; Yufang Hou 001; Yonatan Bilu; Vinodkumar Prabhakaran; Tim Alberdingk Thijm; Graeme Hirst; Benno Stein 001 (Zenodo, 2017)

Power Networks: A Novel Neural Architecture to Predict Power Relations. - Michelle S. Lam; Catherina Xu; Vinodkumar Prabhakaran (LaTeCH@COLING, 2018)

RtGender: A Corpus for Studying Differential Responses to Gender. - Rob Voigt; David Jurgens; Vinodkumar Prabhakaran; Dan Jurafsky; Yulia Tsvetkov (LREC, 2018)

Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. - Vinodkumar Prabhakaran; Premkumar Ganeshkumar; Owen Rambow (NAACL-HLT, 2018)

Socially Responsible NLP. - Yulia Tsvetkov; Vinodkumar Prabhakaran; Rob Voigt (NAACL-HLT (Tutorial Abstracts), 2018)

Power Networks: A Novel Neural Architecture to Predict Power Relations. - Michelle S. Lam; Catherina Xu; Angela Kong; Vinodkumar Prabhakaran (CoRR, 2018)

Detecting Institutional Dialog Acts in Police Traffic Stops. - Vinodkumar Prabhakaran; Camilla Griffiths; Hang Su 011; Prateek Verma; Nelson Morgan; Jennifer L. Eberhardt; Dan Jurafsky (Trans. Assoc. Comput. Linguistics, 2018)

Perturbation Sensitivity Analysis to Detect Unintended Model Biases. - Vinodkumar Prabhakaran; Ben Hutchinson; Margaret Mitchell (EMNLP/IJCNLP (1), 2019)

Socially Responsible Natural Language Processing. - Yulia Tsvetkov; Vinodkumar Prabhakaran; Rob Voigt (WWW (Companion Volume), 2019)

Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020. - Vinodkumar Prabhakaran; Zeerak Waseem; Seyi Akiwowo; Bertie Vidgen (WOAH, 2020)

Social Biases in NLP Models as Barriers for Persons with Disabilities. - Ben Hutchinson; Vinodkumar Prabhakaran; Emily Denton; Kellie Webster; Yu Zhong; Stephen Denuyl (ACL, 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)

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)

Non-portability of Algorithmic Fairness in India. - Nithya Sambasivan; Erin Arnesen; Ben Hutchinson; Vinodkumar Prabhakaran (CoRR, 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)

Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. - Sayan Ghosh 004; Dylan K. Baker; David Jurgens; Vinodkumar Prabhakaran (W-NUT, 2021)

Re-imagining Algorithmic Fairness in India and Beyond. - Nithya Sambasivan; Erin Arnesen; Ben Hutchinson; Tulsee Doshi; Vinodkumar Prabhakaran (FAccT, 2021)

How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. - Vinodkumar Prabhakaran; Marek Rei; Ekaterina Shutova (ICWSM, 2021)

Learning to Recognize Dialect Features. - Dorottya Demszky; Devyani Sharma; Jonathan H. Clark; Vinodkumar Prabhakaran; Jacob Eisenstein (NAACL-HLT, 2021)

Cross-geographic Bias Detection in Toxicity Modeling. - Sayan Ghosh 004; Dylan K. Baker; David Jurgens; Vinodkumar Prabhakaran (CoRR, 2021)

On Releasing Annotator-Level Labels and Information in Datasets. - Vinodkumar Prabhakaran; Aida Mostafazadeh Davani; Mark Díaz (CoRR, 2021)

Thinking Beyond Distributions in Testing Machine Learned Models. - Negar Rostamzadeh; Ben Hutchinson; Christina Greer; Vinodkumar Prabhakaran (CoRR, 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)

Power to the People? Opportunities and Challenges for Participatory AI. - Abeba Birhane; William Isaac 001; Vinodkumar Prabhakaran; Mark Diaz; Madeleine Clare Elish; Iason Gabriel; Shakir Mohamed (EAAMO, 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 (FAccT, 2022)

Evaluation Gaps in Machine Learning Practice. - Ben Hutchinson; Negar Rostamzadeh; Christina Greer; Katherine A. Heller; Vinodkumar Prabhakaran (FAccT, 2022)

Inheriting Discrimination: Datafication Encounters of Marginalized Workers. - Azhagu Meena; Rajesh Veeraraghavan; Shivani Kapania; Vinodkumar Prabhakaran; Vivek Srinivasan; Nithya Sambasivan (ICTD, 2022)

Re-contextualizing Fairness in NLP: The Case of India. - Shaily Bhatt; Sunipa Dev; Partha P. Talukdar; Shachi Dave; Vinodkumar Prabhakaran (AACL/IJCNLP (1), 2022)

Underspecification in Scene Description-to-Depiction Tasks. - Ben Hutchinson; Jason Baldridge; Vinodkumar Prabhakaran (AACL/IJCNLP (1), 2022)

BeSt: The Belief and Sentiment Corpus. - Jennifer Tracey; Owen Rambow; Claire Cardie; Adam Dalton 001; Hoa Trang Dang; Mona T. Diab; Bonnie J. Dorr; Louise Guthrie; Magdalena Markowska; Smaranda Muresan; Vinodkumar Prabhakaran; Samira Shaikh; et al. (LREC, 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; et al. (CoRR, 2022)

A Human Rights-Based Approach to Responsible AI. - Vinodkumar Prabhakaran; Margaret Mitchell; Timnit Gebru; Iason Gabriel (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)

Cultural Incongruencies in Artificial Intelligence. - Vinodkumar Prabhakaran; Rida Qadri; Ben Hutchinson (CoRR, 2022)

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. - Aida Mostafazadeh Davani; Mark Díaz; Vinodkumar Prabhakaran (Trans. Assoc. Comput. Linguistics, 2022)

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 (ACL (1), 2023)

Distinguishing Address vs. Reference Mentions of Personal Names in Text. - Vinodkumar Prabhakaran; Aida Mostafazadeh Davani; Melissa Ferguson; Stav Atir (ACL (Findings), 2023)

MD3: The Multi-Dialect Dataset of Dialogues. - Jacob Eisenstein; Vinodkumar Prabhakaran; Clara Rivera; Dorottya Demszky; Devyani Sharma (INTERSPEECH, 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 (NeurIPS, 2023)

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. - Sunipa Dev; Jaya Goyal; Dinesh Tewari; Shachi Dave; Vinodkumar Prabhakaran (NeurIPS, 2023)

The Reasonable Effectiveness of Diverse Evaluation Data. - Lora Aroyo; Mark Diaz; Christopher Homan; Vinodkumar Prabhakaran; Alex S. Taylor; Ding Wang (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)

A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity. - Wenbo Zhang 008; Hangzhi Guo; Ian D. Kivlichan; Vinodkumar Prabhakaran; Davis Yadav; Amulya Yadav (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)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

ViSAGe: 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 (ACL (1), 2024)

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. - Mark Diaz; Sunipa Dev; Emily Reif; Emily Denton; Vinodkumar Prabhakaran (AIES (1), 2024)

D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. - Aida Mostafazadeh Davani; Mark Diaz; Dylan K. Baker; Vinodkumar Prabhakaran (EMNLP, 2024)

Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. - Aida Mostafazadeh Davani; Mark Díaz; Dylan K. Baker; Vinodkumar Prabhakaran (FAccT, 2024)

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. - Vinodkumar Prabhakaran; Christopher Homan; Lora Aroyo; Aida Mostafazadeh Davani; Alicia Parrish; Alex S. Taylor; Mark Diaz; Ding Wang; Gregory Serapio-García (NAACL-HLT, 2024)

Beyond Aesthetics: Cultural Competence in Text-to-Image Models. - Nithish Kannen; Arif Ahmad; Marco Andreetto; Vinodkumar Prabhakaran; Utsav Prabhu; Adji Bousso Dieng; Pushpak Bhattacharyya; Shachi Dave (NeurIPS, 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)

SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. - Mukul Bhutani; Kevin Robinson; Vinodkumar Prabhakaran; Shachi Dave; Sunipa Dev (CoRR, 2024)

GeniL: A Multilingual Dataset on Generalizing Language. - Aida Mostafazadeh Davani; Sagar Gubbi; Sunipa Dev; Shachi Dave; Vinodkumar Prabhakaran (CoRR, 2024)

(Unfair) Norms in Fairness Research: A Meta-Analysis. - Jennifer Chien; A. Stevie Bergman; Kevin R. McKee; Nenad Tomasev; Vinodkumar Prabhakaran; Rida Qadri; Nahema Marchal; William Isaac 001 (CoRR, 2024)

Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. - 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; et al. (CoRR, 2024)

Coming into relations: How communication reveals and persuades relational decisions. - Daniel A. McFarland; David Broska; Vinodkumar Prabhakaran; Dan Jurafsky (Soc. Networks, 2024)

Risks of Cultural Erasure in Large Language Models. - Rida Qadri; Aida Mostafazadeh Davani; Kevin Robinson; Vinodkumar Prabhakaran (CoRR, 2025)

A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations. - Aida Davani; Sunipa Dev; Héctor Pérez-Urbina; Vinodkumar Prabhakaran (CoRR, 2025)

Towards Geo-Culturally Grounded LLM Generations. - Piyawat Lertvittayakumjorn; David Kinney; Vinodkumar Prabhakaran; Donald Martin Jr.; Sunipa Dev (CoRR, 2025)

Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. - Pushkar Mishra; Charvi Rastogi; Stephen R. Pfohl; Alicia Parrish; Roma Patel; Mark Diaz; Ding Wang; Michela Paganini; Vinodkumar Prabhakaran; Lora Aroyo; Verena Rieser (CoRR, 2025)

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. - 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; et al. (CoRR, 2025)

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. - 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; et al. (CoRR, 2025)