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ORCIDKushal Tirumala
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2020 – today
- 2024
[c5]Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos:
Effective pruning of web-scale datasets based on complexity of concept clusters. ICLR 2024- [i13]Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos:
Effective pruning of web-scale datasets based on complexity of concept clusters. CoRR abs/2401.04578 (2024) - [i12]Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso, Daniel A. Roberts:
The Unreasonable Ineffectiveness of the Deeper Layers. CoRR abs/2403.17887 (2024) - [i11]Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Shang-Wen Li, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer:
Text Quality-Based Pruning for Efficient Training of Language Models. CoRR abs/2405.01582 (2024) - [i10]Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra:
An Introduction to Vision-Language Modeling. CoRR abs/2405.17247 (2024) - [i9]Aaditya K. Singh, Yu Yang, Kushal Tirumala, Mostafa Elhoushi, Ari S. Morcos:
Brevity is the soul of wit: Pruning long files for code generation. CoRR abs/2407.00434 (2024) - [i8]Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy:
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. CoRR abs/2408.11039 (2024) - 2023
- [c4]Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari Morcos:
D4: Improving LLM Pretraining via Document De-Duplication and Diversification. NeurIPS 2023 - [i7]Amro Abbas, Kushal Tirumala, Daniel Simig, Surya Ganguli, Ari S. Morcos:
SemDeDup: Data-efficient learning at web-scale through semantic deduplication. CoRR abs/2303.09540 (2023) - [i6]Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari S. Morcos:
D4: Improving LLM Pretraining via Document De-Duplication and Diversification. CoRR abs/2308.12284 (2023) - [i5]Yu Yang, Aaditya K. Singh, Mostafa Elhoushi, Anas Mahmoud, Kushal Tirumala, Fabian Gloeckle, Baptiste Rozière, Carole-Jean Wu, Ari S. Morcos, Newsha Ardalani:
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data. CoRR abs/2312.02418 (2023) - 2022
- [c3]Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, Douwe Kiela:
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. ACL (demo) 2022: 174-181 - [c2]Alexander R. Farhang, Jeremy D. Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue:
Investigating Generalization by Controlling Normalized Margin. ICML 2022: 6324-6336 - [c1]Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan:
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models. NeurIPS 2022 - [i4]Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, Douwe Kiela:
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. CoRR abs/2204.01906 (2022) - [i3]Alexander R. Farhang
, Jeremy Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue:
Investigating Generalization by Controlling Normalized Margin. CoRR abs/2205.03940 (2022) - [i2]Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan:
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models. CoRR abs/2205.10770 (2022) - 2020
- [i1]Rahil Bathwal, Pavan Chitta, Kushal Tirumala, Vignesh Varadarajan:
Ensemble Machine Learning Methods for Modeling COVID19 Deaths. CoRR abs/2010.04052 (2020)
Coauthor Index
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