Arjun Subramonian
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Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
Harms of gender exclusivity and challenges in non-binary representation in language technologies
S Dev, M Monajatipoor, A Ovalle, A Subramonian, JM Phillips, KW Chang
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Motif-Driven Contrastive Learning of Graph Representations
S Zhang, Z Hu, A Subramonian, Y Sun
IEEE Transactions on Knowledge and Data Engineering, 2024
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings
Z Talat, A Névéol, S Biderman, M Clinciu, M Dey, S Longpre, S Luccioni, ...
Proceedings of BigScience Episode #5--Workshop on Challenges & Perspectives …, 2022
Evaluating the social impact of generative ai systems in systems and society
I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, C Chen, ...
arXiv preprint arXiv:2306.05949, 2023
MOTIF-Driven Contrastive Learning of Graph Representations
A Subramonian
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
A Ovalle, A Subramonian, V Gautam, G Gee, KW Chang
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
ZX Yong, R Zhang, J Zosa Forde, S Wang, A Subramonian, ...
arXiv e-prints, arXiv: 2303.13592, 2023
Queer in AI: A case study in community-led participatory AI
OO Queerinai, A Ovalle, A Subramonian, A Singh, C Voelcker, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
Automated, cost-effective optical system for accelerated antimicrobial susceptibility testing (AST) using deep learning
C Brown, D Tseng, PMK Larkin, S Realegeno, L Mortimer, ...
ACS Photonics 7 (9), 2527-2538, 2020
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
A Subramonian, KW Chang, Y Sun
Advances in Neural Information Processing Systems, 2022
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
A Subramonian, X Yuan, H Daumé III, SL Blodgett
Findings of the Association for Computational Linguistics: ACL 2023, 2023
Estimating the Ages of FGK Dwarf Stars through the Use of GALEX FUV Magnitudes
S Crandall, GH Smith, A Subramonian, K Ho, EM Cochrane
The Astronomical Journal 160 (5), 217, 2020
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
OO Queerinai, N Dennler, A Ovalle, A Singh, L Soldaini, A Subramonian, ...
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management
O QueerInAI, A Singh, W Agnew, H Jethwani, A Subramonian, 2021
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation
Y Wan, A Subramonian, A Ovalle, Z Lin, A Suvarna, C Chance, H Bansal, ...
arXiv preprint arXiv:2404.01030, 2024
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
A Subramonian
ICLR Blog Track, 2022
Queer in AI
H Jethwani, A Subramonian, W Agnew, ML Bleile, S Arora, M Ryskina, ...
XRDS: Crossroads, The ACM Magazine for Students 28 (4), 18-21, 2022
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
A Subramonian, J Kang, Y Sun
arXiv preprint arXiv:2404.03139, 2024
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
A Subramonian, L Sagun, Y Sun
Forty-first International Conference on Machine Learning, 2023
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