Full list available on [Google Scholar]. Asterisks* denote co-first authorship.
Sparse Autoencoders for Hypothesis Generation.
Rajiv Movva*, Kenny Peng*, Nikhil Garg, Jon Kleinberg, Emma Pierson.
arXiv 2025.
[working draft]
Annotation alignment: Comparing LLM and human annotations of conversational safety.
Rajiv Movva, Pang Wei Koh, Emma Pierson.
EMNLP 2024.
[paper] [twitter]
Generative AI in Medicine.
Divya Shanmugam, Monica Agrawal, Rajiv Movva, Irene Y. Chen, Marzyeh Ghassemi, Maia Jacobs, Emma Pierson.
Annual Review of Biomedical Data Science, 2025.
[paper] [twitter]
Use large language models to promote equity.
Emma Pierson*, Divya Shanmugam*, Rajiv Movva*, Jon Kleinberg* et al.
New England Journal of Medicine AI, 2025.
[paper] [preprint] [twitter]
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.
Rajiv Movva*, Sidhika Balachandar*, Kenny Peng*, Gabriel Agostini*, Nikhil Garg, Emma Pierson.
NAACL 2024.
[paper] [twitter] [code] [Data Skeptic podcast]
Coarse race data conceals disparities in clinical risk score performance.
Rajiv Movva*, Divya Shanmugam*, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson.
MLHC 2023 (Proceedings) & ML4H 2023 (Findings).
🏆 Honorable Mention, Best Findings Paper 🏆, ML4H 2023.
[paper] [twitter] [code] [Cornell news] [New York Times]
Towards Intersectional, Feminist, Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection.
Harini Suresh, Rajiv Movva, Amelia Dogan, Rahul Bhargava, Isadora Cruxên, Ángeles Martinez Cuba, Giulia Taurino, Wonyoung So, Catherine D’Ignazio.
FAccT 2022.
🏆 Best Student Paper 🏆
[paper] [twitter]
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks.
Rajiv Movva*, Jinhao Lei*, Shayne Longpre, Ajay Gupta, Chris DuBois.
COLING 2022.
[paper] [twitter]
Dissecting Lottery Ticket Transformers: Structural and Behavorial Study of Sparse Neural Machine Translation.
Rajiv Movva and Jason Zhao.
BlackboxNLP @ EMNLP 2020.
🏆 Best Paper 🏆
[paper] [twitter] [slides]
Studying the Consistency and Composability of Lottery Ticket Pruning Masks.
Rajiv Movva, Jonathan Frankle, Michael Carbin.
ICLR Workshop on Science and Engineering of Deep Learning 2021.
[paper] [twitter]
Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays.
Rajiv Movva, Peyton Greenside, Georgi K Marinov, Surag Nair, Avanti Shrikumar, Anshul Kundaje.
PLoS ONE, 2019.
[paper] [twitter]
Using unlabeled data to enhance fairness of medical AI.
Rajiv Movva, Pang Wei Koh, and Emma Pierson.
Nature Medicine, 2024 (News & Views).
[article]