Suchin Gururangan

According to our database, Suchin Gururangan authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Language models scale reliably with over-training and on downstream tasks.

Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Jenia Jitsev, Alexandros G. Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt

CoRR, 2024

LESS: Selecting Influential Data for Targeted Instruction Tuning.

Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen

CoRR, 2024

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models.

Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer

CoRR, 2024

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters.

Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge

CoRR, 2024

2023

lo-fi: distributed fine-tuning without communication.

Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos

Trans. Mach. Learn. Res., 2023

Time is Encoded in the Weights of Finetuned Language Models.

Kai Nylund, Suchin Gururangan, Noah A. Smith

CoRR, 2023

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore.

Sewon Min, Suchin Gururangan, Eric Wallace, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer

CoRR, 2023

Information Flow Control in Machine Learning through Modular Model Architecture.

Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh

CoRR, 2023

Scaling Expert Language Models with Unsupervised Domain Discovery.

Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer

CoRR, 2023

2022

Editing Models with Task Arithmetic.

Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi

CoRR, 2022

Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models.

Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer

CoRR, 2022

Time Waits for No One! Analysis and Challenges of Temporal Misalignment.

Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

DEMix Layers: Disentangling Domains for Modular Language Modeling.

Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Nearest Neighbor Zero-Shot Inference.

Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

M2D2: A Massively Multi-Domain Language Modeling Dataset.

Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection.

Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Detoxifying Language Models Risks Marginalizing Minority Voices.

Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Expected Validation Performance and Estimation of a Random Variable's Maximum.

Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text.

Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Show Your Work: Improved Reporting of Experimental Results.

Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Variational Pretraining for Semi-supervised Text Classification.

Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Annotation Artifacts in Natural Language Inference Data.

Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018