Arjun Subramonian

According to our database, Arjun Subramonian authored at least 23 papers between 2021 and 2025.

Collaborative distances:

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

2025

Agree to Disagree? A Meta-Evaluation of LLM Misgendering.

Arjun Subramonian, Vagrant Gautam, Preethi Seshadri, Dietrich Klakow, Kai-Wei Chang, Yizhou Sun

CoRR, April, 2025

auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory.

Arjun Subramonian, Elvis Dohmatob

CoRR, April, 2025

Pairwise Matching of Intermediate Representations for Fine-grained Explainability.

Lauren Shrack, Timm Haucke, Antoine Salaün, Arjun Subramonian, Sara Beery

CoRR, March, 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

An Effective Theory of Bias Amplification.

Arjun Subramonian, Samuel J. Bell, Levent Sagun, Elvis Dohmatob

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Strong Model Collapse.

Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Motif-Driven Contrastive Learning of Graph Representations.

Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun

IEEE Trans. Knowl. Data Eng., 2024

Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP.

Vagrant Gautam, Arjun Subramonian, Anne Lauscher, Os Keyes

CoRR, 2024

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.

Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang

CoRR, 2024

Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks.

Arjun Subramonian, Jian Kang, Yizhou Sun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction.

Arjun Subramonian, Levent Sagun, Yizhou Sun

Proceedings of the Forty-first International Conference on Machine Learning, 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

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

Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test.

Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun

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, Pranav A, 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, Pranav A, 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

Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness.

Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang

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

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance.

Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett

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

2022

Queer in AI.

Hetvi Jethwani, Arjun Subramonian, William Agnew, MaryLena Bleile, Sarthak Arora, Maria Ryskina, Jeffrey Xiong

XRDS, 2022

On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs.

Arjun Subramonian, Kai-Wei Chang, Yizhou Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.

Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MOTIF-Driven Contrastive Learning of Graph Representations.

Arjun Subramonian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021