Arjun Subramonian

36 papers A* 7C 2Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling Geometry, Performance, and Training in Language Models. CoRR Atharva Kulkarni, Jacob Mitchell Springer, Arjun Subramonian, Swabha Swayamdipta
2026	J	`jnl`	Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends. CoRR Sabine Weber, Angelina Wang, Ankush Gupta, Arjun Subramonian, Dennis Ulmer, Eshaan Tanwar, Geetanjali Aich, Hannah Devinney, Jacob Hobbs, Jennifer Mickel, Joshua Tint, Mae Sosto, Ray Groshan, Simone Astarita, Vagrant Gautam, Verena Blaschke, William Agnew, Wilson Y. Lee, Yanan Long
2026	J	`jnl`	When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation. CoRR 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
2025	J	`jnl`	Agree to Disagree? A Meta-Evaluation of LLM Misgendering. CoRR Arjun Subramonian, Vagrant Gautam, Preethi Seshadri, Dietrich Klakow, Kai-Wei Chang, Yizhou Sun
2025	A*	`conf`	An Effective Theory of Bias Amplification. ICLR Arjun Subramonian, Samuel J. Bell, Levent Sagun, Elvis Dohmatob
2025	J	`jnl`	OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability. CoRR Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim
2025	J	`jnl`	Pairwise Matching of Intermediate Representations for Fine-grained Explainability. CoRR Lauren Shrack, Timm Haucke, Antoine Salaün, Arjun Subramonian, Sara Beery
2025	—	`conf`	SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. NAACL (Long Papers) 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
2025	A*	`conf`	Strong Model Collapse. ICLR Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe
2025	J	`jnl`	auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory. CoRR Arjun Subramonian, Elvis Dohmatob
2024	J	`jnl`	An Effective Theory of Bias Amplification. CoRR Arjun Subramonian, Samuel J. Bell, Levent Sagun, Elvis Dohmatob
2024	J	`jnl`	Motif-Driven Contrastive Learning of Graph Representations. IEEE Trans. Knowl. Data Eng. Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun
2024	A*	`conf`	Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. ICML Arjun Subramonian, Levent Sagun, Yizhou Sun
2024	J	`jnl`	Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP. CoRR Vagrant Gautam, Arjun Subramonian, Anne Lauscher, Os Keyes
2024	J	`jnl`	Strong Model Collapse. CoRR Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe
2024	J	`jnl`	Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation. CoRR Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang
2024	A*	`conf`	Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks. NeurIPS Arjun Subramonian, Jian Kang, Yizhou Sun
2024	J	`jnl`	Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks. CoRR Arjun Subramonian, Jian Kang, Yizhou Sun
2024	A*	`conf`	Understanding "Democratization" in NLP and ML Research. EMNLP Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat
2024	J	`jnl`	Understanding "Democratization" in NLP and ML Research. CoRR Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat
2023	C	`conf`	Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. AIES 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
2023	J	`jnl`	Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. CoRR 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
2023	C	`conf`	Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. AIES Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
2023	J	`jnl`	Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. CoRR Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
2023	—	`conf`	It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. ACL (Findings) Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023	J	`jnl`	It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. CoRR Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023	J	`jnl`	Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. CoRR Arjun Subramonian, Levent Sagun, Yizhou Sun
2023	—	`conf`	Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 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
2023	J	`jnl`	Queer In AI: A Case Study in Community-Led Participatory AI. CoRR 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
2023	J	`jnl`	Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. CoRR Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun
2022	A*	`conf`	On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs. NeurIPS Arjun Subramonian, Kai-Wei Chang, Yizhou Sun
2022	J	`jnl`	Queer in AI. XRDS Hetvi Jethwani, Arjun Subramonian, William Agnew, MaryLena Bleile, Sarthak Arora, Maria Ryskina, Jeffrey Xiong
2021	—	`conf`	Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. EMNLP (1) Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
2021	J	`jnl`	Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. CoRR Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
2021	A*	`conf`	MOTIF-Driven Contrastive Learning of Graph Representations. AAAI Arjun Subramonian
2020	J	`jnl`	Motif-Driven Contrastive Learning of Graph Representations. CoRR Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun