Papers

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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 (*co-first authors)
Working paper, 2023.
[paper] [twitter]

Coarse race data conceals disparities in clinical risk score performance.
Rajiv Movva*, Divya Shanmugam*, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson. (*co-first authors)
MLHC 2023 (Proceedings) & ML4H 2023 (Findings).
🏆 Honorable Mention, Best Findings Paper 🏆, ML4H 2023.
[paper] [twitter] [Cornell news]

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]


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