Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation. - Rajiv Movva; Jason Y. Zhao (BlackboxNLP@EMNLP, 2020)

Studying the Consistency and Composability of Lottery Ticket Pruning Masks. - Rajiv Movva; Jonathan Frankle; Michael Carbin (CoRR, 2021)

Fairness Deconstructed: A Sociotechnical View of 'Fair' Algorithms in Criminal Justice. - Rajiv Movva (CoRR, 2021)

Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. - Rajiv Movva; Jinhao Lei; Shayne Longpre; Ajay Gupta; Chris DuBois (COLING, 2022)

Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection. - Harini Suresh; Rajiv Movva; Amelia Lee Dogan; Rahul Bhargava; Isadora Cruxen; Angeles Martinez Cuba; Guilia Taurino; Wonyoung So; Catherine D'Ignazio (FAccT, 2022)

Coarse race data conceals disparities in clinical risk score performance. - Rajiv Movva; Divya Shanmugam; Kaihua Hou; Priya Pathak; John V. Guttag; Nikhil Garg 001; Emma Pierson (MLHC, 2023)

Large language models shape and are shaped by society: A survey of arXiv publication patterns. - Rajiv Movva; Sidhika Balachandar; Kenny Peng; Gabriel Agostini; Nikhil Garg 001; Emma Pierson (CoRR, 2023)

Use large language models to promote equity. - Emma Pierson; Divya Shanmugam; Rajiv Movva; Jon M. Kleinberg; Monica Agrawal; Mark Dredze; Kadija Ferryman; Judy Wawira Gichoya; Dan Jurafsky; Pang Wei Koh; Karen Levy; Sendhil Mullainathan; et al. (CoRR, 2023)

Annotation alignment: Comparing LLM and human annotations of conversational safety. - Rajiv Movva; Pang Wei Koh; Emma Pierson (EMNLP, 2024)

Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers. - Rajiv Movva; Sidhika Balachandar; Kenny Peng; Gabriel Agostini; Nikhil Garg 001; Emma Pierson (NAACL-HLT, 2024)

Generative AI in Medicine. - Divya Shanmugam; Monica Agrawal; Rajiv Movva; Irene Y. Chen; Marzyeh Ghassemi; Maia Jacobs; Emma Pierson (CoRR, 2024)

LLMs' Pluralistic Compatibility. - Severin Engelmann; Rajiv Movva (EWAF, 2025)

Sparse Autoencoders for Hypothesis Generation. - Rajiv Movva; Kenny Peng; Nikhil Garg 001; Jon M. Kleinberg; Emma Pierson (CoRR, 2025)

Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts. - Kenny Peng; Rajiv Movva; Jon M. Kleinberg; Emma Pierson; Nikhil Garg 001 (CoRR, 2025)