Arjun Subramonian (they/them)
💻 🐻 🏳️‍🌈

arjunsub at cs dot ucla dot edu

About

👨🏾‍🔬 Hello! I am an AI researcher interested in evaluation science, governance, alignment, fairness, and social impacts. I am also part of Queer in AI.

👨🏾‍🎓 I received my PhD in Computer Science from UCLA, advised by Prof. Yizhou Sun and Prof. Kai-Wei Chang. My research focused on the fairness and ethics of machine learning and natural language processing.

Education

PhD, Computer Science, Amazon Science Hub Fellow, NSF MENTOR Fellow, Eugene V. Cota-Robles Fellow (2025)
University of California, Los Angeles

BS, Computer Science, Summa Cum Laude (2021)
University of California, Los Angeles

Work Experience

2025, Meta FAIR AI & Society, Research Scientist
2024, Meta FAIR Cost and Alignment, Research Intern
2022, Meta FAIR Society and Responsible AI, Research Intern
2022, Microsoft Research FATE, Research Intern
2021, Snap, Inc., Privacy Research Intern
2021, Allen Institute for Artificial Intelligence (AllenNLP), Research Engineering Intern
2020, Microsoft Corporation, Software Engineering Intern
2019, Get Heal, Inc., Software Engineering Intern

Conference Papers, Journal Papers, and Book Chapters

Agree to Disagree? A Meta-Evaluation of LLM Misgendering

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

COLM 2025 (32% acceptance rate)

An Effective Theory of Bias Amplification

Arjun Subramonian, Samuel Bell, Levent Sagun, Elvis Dohmatob URL arXiv

ICLR 2025 (32.08% acceptance rate)

Spotlight Strong Model Collapse

Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe URL arXiv

ICLR 2025 Spotlight (5.1% acceptance rate)

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 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 URL

NAACL 2025 (22% acceptance rate)

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

Arjun Subramonian, Jian Kang, Yizhou Sun URL arXiv Video/Poster

NeurIPS 2024 (25.8% acceptance rate)

Understanding "Democratization" in NLP Research

Arjun Subramonian*, Vagrant Gautam*, Dietrich Klakow, Zeerak Talat URL arXiv

EMNLP 2024 (20.8% acceptance rate)

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

Arjun Subramonian, Levent Sagun, Yizhou Sun URL arXiv

ICML 2024 (27.5% acceptance rate)

Graph Learning Frontiers @ NeurIPS 2023 Oral (15.4% acceptance rate)

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

Irene Solaiman*, Zeerak Talat*, William Agnew, Lama Ahmad, Dylan Baker, Su Lin Blodgett, Canyu Chen, Hal Daumé III, Jesse Dodge, Isabella Duan, Ellie Evans, Felix Friedrich, Avijit Ghosh, Usman Gohar, Sara Hooker, Yacine Jernite, Ria Kalluri, Alberto Lusoli, Alina Leidinger, Michelle Lin, Xiuzhu Lin, Sasha Luccioni, Jennifer Mickel, Margaret Mitchell, Jessica Newman, Anaelia Ovalle, Marie-Therese Png, Shubham Singh, Andrew Strait, Lukas Struppek, Arjun Subramonian arXiv

Oxford University Press Handbook on Generative AI

Motif-Driven Contrastive Learning of Graph Representations

Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun URL

Transactions on Knowledge and Data Engineering

Oral 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 URL arXiv Blog Post Blog Post

AIES 2023 Oral (7.7% acceptance rate)

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

Organizers Of QueerInAI, 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, Jess de Jesus de Pinho Pinhal URL arXiv Slides Poster Blog Post

AIES 2023 (28.9% acceptance rate)

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

Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett URL arXiv Video/Poster

Findings of ACL 2023 (41.89% acceptance rate)

Best Paper 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 Klubička, Hang Yuan, Hetvi J, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Melvin Selim Atay, 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 Dǒng, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark URL arXiv Video

FAccT 2023 (24.5% acceptance rate)

On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs

Arjun Subramonian, Kai-Wei Chang, Yizhou Sun URL Video/Poster

NeurIPS 2022 (25.6% acceptance rate)

Queer in AI

Organizers of QueerInAI, Hetvi Jethwani*, Arjun Subramonian*, William Agnew*, MaryLena Bleile*, Sarthak Arora*, Maria Ryskina*, Jeffrey Xiong* URL

XRDS: Crossroads, The ACM Magazine for Students, Volume 28, Issue 4

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections

Arjun Subramonian URL

ICLR 2022 Blogpost Track (32% acceptance rate)

Oral 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 URL arXiv Blog Post

EMNLP 2021 Oral (9.8% acceptance rate)

Women in Machine Learning @ NeurIPS 2021

MOTIF-Driven Contrastive Learning of Graph Representations

Arjun Subramonian URL Poster

AAAI 2021 Undergraduate Consortium (17% acceptance rate)

Automated, Cost-Effective Optical System for Accelerated Antimicrobial Susceptibility Testing (AST) Using Deep Learning

Calvin Brown, Derek Tseng, Paige M. K. Larkin, Susan Realegeno, Leanne Mortimer, Arjun Subramonian, Dino Di Carlo, Omai B. Garner, Aydogan Ozcan URL

ACS Photonics

Estimating the Ages of FGK Dwarf Stars Through the Use of GALEX FUV Magnitudes

Sara Crandall, Graeme H. Smith, Arjun Subramonian, Kelly Ho, Evelyn M. Cochrane URL

The Astronomical Journal

Workshop Papers

Fairness Implications of GNN-to-MLP Knowledge Distillation

Margaret Capetz, Yizhou Sun, Arjun Subramonian URL

Reliable ML @ NeurIPS 2025

Oral Challenges to Grassroots Organization Engagement with AI Policy

Jennifer Mickel, Carter Buckner, William Agnew, Yanan Long, Michelle Lin, B.V. Alaka, Angelina Wang, Sarthak Arora, Nandhini Swaminathan, Arjun Subramonian URL

Algorithmic Collective Action @ NeurIPS 2025 Oral

Issues in Measuring the Fairness of Social Representation in Synthetic (Speech) Data

Arjun Subramonian, Brooklyn Sheppard, Levent Sagun URL

Synthetic Data @ Aarhus Conference 2025

Oral Pairwise Matching of Intermediate Representations for Fine-grained Explainability

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

CV4Animals @ CVPR 2025 Oral

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

Vagrant Gautam, Arjun Subramonian, Anne Lauscher, Os Keyes URL arXiv

Gender Bias in NLP @ ACL 2024

Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages

Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde, Skyler Wang, Arjun Subramonian, Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Lintang Sutawika, Jan Christian Blaise Cruz, Yin Lin Tan, Long Phan, Rowena Garcia, Thamar Solorio, Alham Fikri Aji URL arXiv Slides

Computational Approaches to Linguistic Code-Switching @ EMNLP 2023

Critical Technopolicy and Reflexivity For Proactive Gender-Inclusive NLP

Davi Liang, Anaelia Ovalle, Arjun Subramonian, Alicia Boyd

Queer in AI @ ACL 2023

Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD

Arjun Subramonian, Levent Sagun, Kai-Wei Chang, Yizhou Sun URL Video/Poster

Trustworthy and Socially Responsible Machine Learning @ NeurIPS 2022

You Reap What You Sow: On the Challenges of Bias Evaluation Under Multilingual Settings

Zeerak Talat, Aurélie Névéol, Stella Biderman*, Miruna Clinciu*, Manan Dey*, Shayne Longpre*, Alexandra Sasha Luccioni*, Maraim Masoud*, Margaret Mitchell*, Dragomir Radev*, Shanya Sharma*, Arjun Subramonian*, Jaesung Tae*, Samson Tan*, Deepak Tunuguntla*, Oskar van der Wal* URL

Challenges & Perspectives in Creating Large Language Models @ ACL 2022

How to Make Virtual Conferences Queer-Friendly: A Guide

Organizers of QueerInAI, A Pranav, MaryLena Bleile, Arjun Subramonian, Luca Soldaini, Danica Sutherland, Sabine Weber, Pan Xu, William Agnew, Michael McKenna, Nyx McLean URL

Widening NLP @ EMNLP 2021

Motif-Driven Contrastive Learning of Graph Representations

Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun arXiv

Self-Supervised Learning @ WWW 2021

Queer | Inclusive | Badass

Arjun Subramonian URL PDF

Resistance AI @ NeurIPS 2020

Preprints

OpenApps: Simulating Environment Variations to Measure UI Agent Reliability

Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim arXiv

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

Arjun Subramonian, Elvis Dohmatob arXiv

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 arXiv

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

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

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Teven Le Scao, ..., Arjun Subramonian, ..., Thomas Wolf arXiv

Fairness and Bias Mitigation: A practical guide into the AllenNLP Fairness module

Arjun Subramonian GitHub Guide Documentation Blog Post

Public Scholarship

Queer AI Harms and Proposed Policy Interventions

Organizers of QueerInAI, ..., Arjun Subramonian, ... URL

AI and Queer Communities

Arjun Subramonian URL

FINDINGS: Exploring the Impact of AI

National AI Advisory Committee, ..., Arjun Subramonian, ... URL

Queer in AI National AI Advisory Committee 2023 Briefing

Organizers of QueerInAI, Arjun Subramonian URL

Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management

Organizers of QueerInAI, Ashwin S*, William Agnew*, Hetvi Jethwani*, Arjun Subramonian* URL

Honors

Two Sigma PhD Fellowship Nominee, 1 of 6 students selected by UCLA (2024)
Amazon Science Hub Fellowship (2024) Site
Google PhD Fellowship Nominee, 1 of 4 students selected by UCLA (2024)
JP Morgan PhD Fellowship Nominee, 1 of 2 students selected by UCLA (2024)
LoG Conference Top-10 Reviewer (2023)
Queer in AI Ford Foundation Research Grant (2023) Site
FAccT Best Paper Award (2023) Site
NSF MENTOR Fellowship (2022)
Allen AI Outstanding Intern of the Year (2021) Site
Major League Hacking Top 50 (2021) Site
UCLA Samueli School-Wide Outstanding Bachelor of Science (2021) Site
UCLA Chancellor's Service Award (2021) Site
UCLA Samueli Engineering Achievement Award in Student Welfare (2021) Site
UCLA Eugene V. Cota-Robles Fellowship (2021)
Boeing Company Scholarship (2021)
Brian J. Lewis Endowment (2021)
UCLA Dean's Honors List (2018-2021)
Computing Research Association Outstanding Undergraduate Researcher Honorable Mention (2020) Site
IBM Quantum Challenge (2020)
3rd Place Award for Best Hack @ Rose Hack, Major League Hacking (2019)
Siemens Competition Regional Finalist (2017) Site
Award of Achievement, Association for Computing Machinery, San Francisco Bay Area Professional Chapter (2016)

Invited Talks

Guest Lecture: A Critical Review and Reimagination of Intersectionality and Democratization in AI, Non-Ideal Algorithmic Fairness, Cornell Tech (2025)
An Effective Theory of Bias Amplification, ACM AI at UCLA Reading Group (2025)
Agree to Disagree? A Meta-Evaluation of LLM Misgendering, Meta FAIR (2025) Slides
An Effective Theory of Bias Amplification, USC ISI Natural Language Seminar (2025) Event Slides Video
Theoretical and Empirical Insights into Degree Bias in GNN, DEFirst Reading Group - MILA x Vector (2025) Video
From “Democratization” to Personal Names: Reimagining NLP Practices Towards Justice, USC ISI Natural Language Seminar (2025) Event Slides Video
From "Democratization" to Personal Names: Reimagining NLP Practices Towards Justice, Algorithmic Decision Systems (ADS) Reading Group, UC Berkeley (2024) Slides
Queer In AI: A Case Study in Community-Led Participatory AI, Microsoft GLEAM Security (2024) Slides
From "Democratization" to Personal Names: Reimagining NLP Practices Towards Justice, UC Berkeley Data Science for Social Justice Workshop (2024) Slides
'Queer-Inclusive' AI: Contesting the Power Structures and Logics of Machine Learning, IBM Research Tech for Justice Seminar (2024) Slides
Queer In AI: A Case Study in Community-Led Participatory AI, Data & Society (2024) Slides
Bias, Discrimination, and Power: Graphs and Natural Language, KUNGFU.AI (2023) Slides
Bias and Power in NLP, USC ISI Natural Language Seminar (2023) Event Slides Video
Bias and Power in NLP (for consultants), Paris (2022) Slides
Bias and Power in NLP, NLP Seminars at Dublin College University, Ireland (2022) Slides
Guest Lecture: Bias in Natural Language Processing, COM SCI 263: NLP, UCLA (2022) Slides Video
Queer in AI: Making AI Queer-Inclusive and Prioritizing Grassroots D&I Activism, Humlab, Umeå University (2022) Slides Video
Prioritizing Grassroots D&I Activism: Queer in AI, AAAI Workshop on Diversity in Artificial Intelligence (2022) Event Slides
Prioritizing Grassroots D&I Activism: Queer in AI, Nike Sport+AI Conference (2022) Event Slides
How Can I Make My Hackathon Queer-Inclusive?, Hackcon IX (2021) Slides Video
An Automated and Cost-Effective System for Early Antimicrobial Susceptibility Testing Using Optical Fibers and Deep Learning, UCLA HHMI Day (2019) Slides

Invited Panels

Asian Queer Experiences in Engineering: Intersectionality, Inclusion, and Institutional Change, American Society for Engineering Education (2025)
QICSE Panel, UC Berkeley (2024)
Challenges and Perspectives for queer and/or disabled communites presented by AI in HCI, ICML Queer in AI Workshop (2024) Event
Artificial Intelligence and Democratic Values Roundtable, Center for AI & Digital Policy (2024) Event
UCLA Computer Science PhD Visit Day Panel (2024)
UCLA ACM AI Outreach GALA Panel (2024)
Queer Computation: A Critical Unmaking, Coding Inquiry, McMaster (2024)
AI in the Time of Generative Models: Ensuring that Diverse Voices Are Heard, AAAI Workshop on Diversity in Artificial Intelligence (2024) Event
Students with Disabilities Panel, UCLA (2023)
US AI Policy: Next Steps (2023)
Queer in AI National AI Advisory Committee Briefing (2023) Event Briefing Video Press Findings
Partnership on AI Inclusive Data Collection Workshop (2023)
Data & Society Salon Series on Responsible AI in Government (2023)
Students with Disabilities Panel, UCLA (2022)
Accessibility and Inclusion Panel, Neuromatch Academy (2022) Video
Gender as a Variable in NLP, NAACL Queer in AI Workshop (2022) Event Video
NYU Center for Responsible AI Roundtable on Accessible AI Education (2022)
Co-Opting AI: Queer, NYU's Institute for Public Knowledge (2022) Event Video
How Do We Improve DEI in AI?, Nike Sport+AI Conference (2022)
Eye on A.I.: Equity & Inclusion in A.I. Technology, Toronto Public Library (2021) Video
Intersectionality Panel, NAACL (2021) Video

Press

Creating queer inclusive research and experiences in AI, The TechTank Podcast (2024)
How Can AI Affect LGBTQIA+ People In India? Three Indian-Origin Queer Researchers Explain, IndiaTimes (2023)
Arjun Subramonian: The Intersection of AI, Diversity, and Ethics, Eye on A.I. (2023)
What does an award-winning AI tech paper have to say about participatory governance?, Circle Back Newsletter by Public Technology Leadership Collaborative (2023)
Making AI Systems More Just with Arjun Subramonian, Unhinged Collaboration (2023)
Queering the Tech Industry, Bloom Season 2 (2023)
Fighting AI bias means championing LGBTIQ+ rights, Campus 10178 (2023)
Seven Ways to Put Intersectionality into Your Research, Queer in AI Blog (2023)
Ethics in AI Wonderland, Queer in AI Blog (2023)
Arjun Subramonian on Queer Approaches to AI and Computing, The Good Robot (2023)
Taking The TamBram Out of Pride Month, gaysi (2022)
Asian-Americans, we must resign from our role as Silicon Valley's model minority mascot, XRDS: Crossroads, The ACM Magazine for Students, Volume 28, Issue 4 (2022)
.Tech Domains x Major League Hacking: 24 Student Programmers Share Their #MyStartInTech Stories, .Tech Domains (2021)
UCLA Engineering Outstanding Bachelor Awardee Champions Equity for LGBTQ+ Community, UCLA Samueli Newsroom (2021)
Queer in AI with Arjun Subramonian, 500 Queer Scientists (2021)
UCLA Samueli Announces 2021 Commencement Awards, UCLA Samueli Newsroom (2021)
QWER Hacks: A Case Study on How to Build an Inclusive Hackathon, UCLA Samueli Newsroom (2021)
UCLA's ACM AI Podcast Addresses AI and Diversity, Featuring Guests from Underrepresented Communities, UCLA Samueli Newsroom (2021)
Student-run tech podcast aims to make computer science more diverse, accessible, Daily Bruin (2021)
Students code software to help underrepresented groups in LGTBQ+ hackathon, Daily Bruin (2020)
Equality in America Town Hall with Tom Steyer, CNN (2019)
Washington, California Students Win Regional Siemens Competition at California Institute of Technology, citybizlist (2017)
Indian American STEM Whiz Kids Named 2017 Siemens Regional Finalists, IndiaWest (2017)
Three MVHS students make it to semifinal round of Siemens competition, El Estoque (2017)

Service

Reviewing:

Conferences:
- NeurIPS (2024, D&B 2024, Ethics 2024, 2023, D&B 2023, Ethics 2023)
- ICML (2025)
- ICLR (2025, Workshops 2025)
- FAccT (2025, 2024, 2023, 2022)
- LoG (2024, 2023, 2022)
- KDD (2024, 2023)
- ACL (Ethics 2024)
- IASEAI (2026)
- WACV (2026)
- ICCV (2025)
- WebConf (2024)
Workshops:
- NeurIPS (GLFrontiers 2023, GLFrontiers 2022, TSRML 2022)
- NAACL (TrustNLP 2022, WOAH 2022, SRW 2022)
- ACL (TrustNLP 2023, WOAH 2023, Queer in AI 2023, BigScience 2022)

Conference organization:

LoG Outreach Chair (2024)
FAccT Socials Chair (2024)
NeurIPS Affinity Workshops Chair (2022, 2023)
KDD EDI Day Chair (2023)
NAACL Accessibility Chair (2022)

Workshop and social organization:

Evaluating Evaluations: Examining Best Practices for Measuring Broader Impacts of Generative AI @ NeurIPS 2024
In Código of Hope: Possibilities of Global Solidarity and Activism in Academic Environments @ FAccT 2024
Global AI Cultures @ ICLR 2024
Collaboratively Developing Evaluation Frameworks for Queer AI Harms @ FAccT 2022
Queer in AI:
- ICML (2024, 2022, 2021)
- NeurIPS (2021)
- ICLR (2024)
- AAAI (2021)
- NAACL (2025, 2022)
- ACL (2023)

Policy:

Teaching:

UCLA: Computer Science 32 (2023), Computer Science Summer Institute (2022, 2023)

Mentoring: I am fortunate to have mentored brilliant students:

Margaret Capetz (PhD at University of Washington)
Naisha Agarwal
Pranav Subbaraman
Steven Swee (PhD at UCLA)

Arjun Subramonian (they/them) 💻 🐻 🏳️‍🌈

About

Education

Work Experience

Conference Papers, Journal Papers, and Book Chapters

Agree to Disagree? A Meta-Evaluation of LLM Misgendering

An Effective Theory of Bias Amplification

Spotlight Strong Model Collapse

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

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

Understanding "Democratization" in NLP Research

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

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

Motif-Driven Contrastive Learning of Graph Representations

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

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

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

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

On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs

Queer in AI

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections

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

MOTIF-Driven Contrastive Learning of Graph Representations

Automated, Cost-Effective Optical System for Accelerated Antimicrobial Susceptibility Testing (AST) Using Deep Learning

Estimating the Ages of FGK Dwarf Stars Through the Use of GALEX FUV Magnitudes

Workshop Papers

Fairness Implications of GNN-to-MLP Knowledge Distillation

Oral Challenges to Grassroots Organization Engagement with AI Policy

Issues in Measuring the Fairness of Social Representation in Synthetic (Speech) Data

Oral Pairwise Matching of Intermediate Representations for Fine-grained Explainability

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

Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages

Critical Technopolicy and Reflexivity For Proactive Gender-Inclusive NLP

Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD

You Reap What You Sow: On the Challenges of Bias Evaluation Under Multilingual Settings

How to Make Virtual Conferences Queer-Friendly: A Guide

Motif-Driven Contrastive Learning of Graph Representations

Queer | Inclusive | Badass

Preprints

OpenApps: Simulating Environment Variations to Measure UI Agent Reliability

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

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

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

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Fairness and Bias Mitigation: A practical guide into the AllenNLP Fairness module

Public Scholarship

Queer AI Harms and Proposed Policy Interventions

AI and Queer Communities

FINDINGS: Exploring the Impact of AI

Queer in AI National AI Advisory Committee 2023 Briefing

Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management

Honors

Invited Talks

Invited Panels

Press

Service

Arjun Subramonian (they/them)
💻 🐻 🏳️‍🌈