Zeerak Talat

According to our database, Zeerak Talat authored at least 57 papers between 2016 and 2026.

Collaborative distances:

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

2026

Unrequited Emotions: Investigating the Gaps in Motivation and Practice in Speech Emotion Recognition Research.

Taryn Wong, Zeerak Talat, Hanan Aldarmaki, Anjalie Field

CoRR, April, 2026

Aligning Stuttered-Speech Research with End-User Needs: Scoping Review, Survey, and Guidelines.

Hawau Olamide Toyin, Mutiah Apampa, Toluwani Aremu, Humaid Alblooshi, Ana Rita Valente, Gonçalo Leal, Zhengjun Yue, Zeerak Talat, Hanan Aldarmaki

CoRR, April, 2026

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation.

Mubashara Akhtar, Anka Reuel, Prajna Soni, Sanchit Ahuja, Pawan Sasanka Ammanamanchi, Ruchit Rawal, Vilém Zouhar, Srishti Yadav, Chenxi Whitehouse, Dayeon Ki, Jennifer Mickel, Leshem Choshen, Marek Suppa, Jan Batzner, Jenny Chim, Jeba Sania, Yanan Long, Hossein A. Rahmani, Christina Knight, Yiyang Nan, Jyoutir Raj, Yu Fan, Shubham Singh, Subramanyam Sahoo, Eliya Habba, Usman Gohar, Siddhesh Pawar, Robert Scholz, Arjun Subramonian, Jingwei Ni, Mykel J. Kochenderfer, Sanmi Koyejo, Mrinmaya Sachan, Stella Biderman, Zeerak Talat, Avijit Ghosh, Irene Solaiman

CoRR, February, 2026

Big AI's Regulatory Capture: Mapping Industry Interference and Government Complicity.

Abeba Birhane, Riccardo Angius, William Agnew, Harshvardhan J. Pandit, Bhaskar Mitra, Roel Dobbe, Zeerak Talat

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

IYKYK: Using language models to decode extremist cryptolects.

Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data.

Nuredin Ali Abdelkadir, Anjali Ratnam, Zeerak Talat, Stevie Chancellor

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Who Gets Heard? Rethinking Fairness in AI for Music Systems.

Atharva Mehta, Shivam Chauhan, Megha Sharma, Gus Xia, Kaustuv Kanti Ganguli, Nishanth Chandran, Zeerak Talat, Monojit Choudhury

CoRR, November, 2025

Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations.

Anka Reuel, Avijit Ghosh, Jenny Chim, Andrew Tran, Yanan Long, Jennifer Mickel, Usman Gohar, Srishti Yadav, Pawan Sasanka Ammanamanchi, Mowafak Allaham, Hossein A. Rahmani, Mubashara Akhtar, Felix Friedrich, Robert Scholz, Michael Alexander Riegler, Jan Batzner, Eliya Habba, Arushi Saxena, Anastassia Kornilova, Kevin Wei, Prajna Soni, Yohan Mathew, Kevin Klyman, Jeba Sania, Subramanyam Sahoo, Olivia Beyer Bruvik, Pouya Sadeghi, Sujata S. Goswami, Angelina Wang, Yacine Jernite, Zeerak Talat, Stella Biderman, Mykel J. Kochenderfer, Sanmi Koyejo, Irene Solaiman

CoRR, November, 2025

Personal Attribute Leakage in Federated Speech Models.

Hamdan Al-Ali, Ali Reza Ghavamipour, Tommaso Caselli, Fatih Turkmen, Zeerak Talat, Hanan Aldarmaki

CoRR, October, 2025

Code-Switching in End-to-End Automatic Speech Recognition: A Systematic Literature Review.

Maha Tufail Agro, Atharva Kulkarni, Karima Kadaoui, Zeerak Talat, Hanan Aldarmaki

CoRR, July, 2025

Exploitation All the Way Down: Calling out the Root Cause of Bad Online Experiences for Users of the "Majority World".

Hellina Hailu Nigatu, Zeerak Talat

CoRR, January, 2025

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models.

Margaret Mitchell, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Sil Hamilton, Timm Dill, Jad Doughman, Ritam Dutt, Avijit Ghosh, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher, Roberto L. Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh D. Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar Van Der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization.

Masahiro Kaneko, Zeerak Talat, Timothy Baldwin

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

The Only Way is Ethics: A Guide to Ethical Research with Large Language Models.

Eddie L. Ungless, Nikolas Vitsakis, Zeerak Talat, James Garforth, Björn Ross, Arno Onken, Atoosa Kasirzadeh, Alexandra Birch

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Exploring the Limitations of Detecting Machine-Generated Text.

Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, Shady Shehata, Preslav Nakov, Zeerak Talat

Proceedings of the 31st International Conference on Computational Linguistics, 2025

The Role of Expertise in Effectively Moderating Harmful Social Media Content.

Nuredin Ali Abdelkadir, Tianling Yang, Shivani Kapania, Meron Estefanos, Fasica Berhane Gebrekidan, Zecharias Zelalem, Messai Ali, Rishan Berhe, Dylan K. Baker, Zeerak Talat, Milagros Miceli, Alex Hanna, Timnit Gebru

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

A Capabilities Approach to Studying Bias and Harm in Language Technologies.

Hellina Hailu Nigatu, Zeerak Talat

CoRR, 2024

Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models.

Eddie L. Ungless, Nikolas Vitsakis, Zeerak Talat, James Garforth, Björn Ross, Arno Onken, Atoosa Kasirzadeh, Alexandra Birch

CoRR, 2024

Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection.

Amanda Cercas Curry, Gavin Abercrombie, Zeerak Talat

CoRR, 2024

The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels.

Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AraOffence: Detecting Offensive Speech Across Dialects in Arabic Media.

Youssef Nafea, Shady Shehata, Zeerak Talat, Ahmed Aboeitta, Ahmed Sharshar, Preslav Nakov

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Understanding "Democratization" in NLP and ML Research.

Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP.

Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon.

Fajri Koto, Tilman Beck, Zeerak Talat, Iryna Gurevych, Timothy Baldwin

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Impoverished Language Technology: The Lack of (Social) Class in NLP.

Amanda Cercas Curry, Zeerak Talat, Dirk Hovy

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Classist Tools: Social Class Correlates with Performance in NLP.

Amanda Cercas Curry, Giuseppe Attanasio, Zeerak Talat, Dirk Hovy

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal

CoRR, 2023

Evaluating the Social Impact of Generative AI Systems in Systems and Society.

Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev

CoRR, 2023

Mirages: On Anthropomorphism in Dialogue Systems.

Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar, Zeerak Talat

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing.

Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein

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

Mirages. On Anthropomorphism in Dialogue Systems.

Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar, Verena Rieser, Zeerak Talat

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Federated Approach for Hate Speech Detection.

Jay Gala, Deep Gandhi, Jash Mehta, Zeerak Talat

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Back to the Future: On Potential Histories in NLP.

Zeerak Talat, Anne Lauscher

CoRR, 2022

Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models.

Paul Röttger, Haitham Seelawi, Debora Nozza, Zeerak Talat, Bertie Vidgen

CoRR, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell

CoRR, 2022

Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources.

Angelina McMillan-Major, Zaid Alyafeai, Stella Biderman, Kimbo Chen, Francesco De Toni, Gérard Dupont, Hady Elsahar, Chris Emezue, Alham Fikri Aji, Suzana Ilic, Nurulaqilla Khamis, Colin Leong, Maraim Masoud, Aitor Soroa, Pedro Javier Ortiz Suárez, Zeerak Talat, Daniel van Strien, Yacine Jernite

CoRR, 2022

On the Machine Learning of Ethical Judgments from Natural Language.

Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell

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

A Federated Approach to Predicting Emojis in Hindi Tweets.

Deep Gandhi, Jash Mehta, Nirali Parekh, Karan Waghela, Lynette D'Mello, Zeerak Talat

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Directions for NLP Practices Applied to Online Hate Speech Detection.

Paula Fortuna, Mónica Domínguez, Leo Wanner, Zeerak Talat

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

A Word on Machine Ethics: A Response to Jiang et al. (2021).

Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams

CoRR, 2021

Disembodied Machine Learning: On the Illusion of Objectivity in NLP.

Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein

CoRR, 2021

Dynabench: Rethinking Benchmarking in NLP.

Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

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

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection.

Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

"Hold on honey, men at work": A semi-supervised approach to detecting sexism in sitcoms.

Smriti Singh, Tanvi Anand, Arijit Ghosh Chowdhury, Zeerak Waseem

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

HateCheck: Functional Tests for Hate Speech Detection Models.

Paul Röttger, Bertie Vidgen, Dong Nguyen, Zeerak Waseem, Helen Z. Margetts, Janet B. Pierrehumbert

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Survey of Race, Racism, and Anti-Racism in NLP.

Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Two computer scientists and a cultural scientist get hit by a driver-less car: a method for situating knowledge in the cross-disciplinary study of F-A-T in machine learning: translation tutorial.

Maya Indira Ganesh, Francien Dechesne, Zeerak Waseem

Proceedings of the FAT* '20: Conference on Fairness, 2020

Detecting East Asian Prejudice on Social Media.

Bertie Vidgen, Scott Hale, Ella Guest, Helen Z. Margetts, David A. Broniatowski, Zeerak Waseem, Austin Botelho, Matthew Hall, Rebekah Tromble

Proceedings of the Fourth Workshop on Online Abuse and Harms, 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

2017

Using TF-IDF n-gram and Word Embedding Cluster Ensembles for Author Profiling.

Adam Poulston, Zeerak Waseem, Mark Stevenson

Proceedings of the Working Notes of CLEF 2017, 2017

Understanding Abuse: A Typology of Abusive Language Detection Subtasks.

Zeerak Waseem, Thomas Davidson, Dana Warmsley, Ingmar Weber

Proceedings of the First Workshop on Abusive Language Online, 2017

2016

Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter.

Zeerak Waseem, Dirk Hovy

Proceedings of the Student Research Workshop, 2016

Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter.

Zeerak Waseem

Proceedings of the First Workshop on NLP and Computational Social Science, 2016