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, Emma Pierson (*co-first authors)
Working paper, 2023.
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)
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks.
Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, Chris DuBois.
Towards Intersectional, Feminist, Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection.
Harini Suresh, Rajiv Movva, Amelia Dogan, Giulia Taurino, Rahul Bhargava, Catherine D’Ignazio.
FAccT 2022, Best Paper!
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.
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]
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.