Sneha Kudugunta

PhD student, Department of Computer Science

Researcher, Google DeepMind

Joined

October 2017

Names

Sneha Kudugunta

Emails

****@iith.ac.in (Confirmed)

****@google.com (Confirmed)

****@cs.washington.edu

Personal Links

Google Scholar

Career & Education History

PhD student

Department of Computer Science (cs.washington.edu)

2022 – Present

Researcher

Google DeepMind (google.com)

2018 – Present

Undergrad student

Indian Institute of Technology, Hyderabad (iith.ac.in)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Luke Zettlemoyer

2023 – Present

Expertise

No areas of expertise listed

Publications

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Rayburn Caswell, Alex Pentland, Sercan O Arik, Chen-Yu Lee, Sayna Ebrahimi
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Rayburn Caswell, Alex Pentland, Sercan O Arik, Chen-Yu Lee, Sayna Ebrahimi
- ICLR 2026 Poster
- Readers: Everyone
(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
Margaret Li, Sneha Kudugunta, Luke Zettlemoyer
- ICLR 2025 Poster
- Readers: Everyone
MatFormer: Nested Transformer for Elastic Inference
Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
- NeurIPS 2024 poster
- Readers: Everyone
MatFormer: Nested Transformer for Elastic Inference
Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
- WANT@NeurIPS 2023 Oral
- Readers: Everyone
MatFormer: Nested Transformer for Elastic Inference
Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
- Submitted to ICLR 2024
- Readers: Everyone
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Sneha Kudugunta, Isaac Rayburn Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi
- Published: 01 Jan 2023, Last Modified: 07 Jun 2023
- CoRR 2023
- Readers: Everyone
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife et al. (32 additional authors not shown)
- 2022 (modified: 04 Nov 2022)
- Trans. Assoc. Comput. Linguistics 2022
- Readers: Everyone
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone

View all 16 publications

Co-Authors

View all 100 co-authors