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

S. Gururangan, A. Marasović, S. Swayamdipta, K. Lo, I. Beltagy, D. Downey, and N. Smith. (2020)cite arxiv:2004.10964Comment: ACL 2020.

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Scaling Expert Language Models with Unsupervised Domain Discovery.S. Gururangan, M. Li, M. Lewis, W. Shi, T. Althoff, N. Smith, and L. Zettlemoyer. CoRR, (2023)lo-fi: distributed fine-tuning without communication.M. Wortsman, S. Gururangan, S. Li, A. Farhadi, L. Schmidt, M. Rabbat, and A. Morcos. CoRR, (2022)LESS: Selecting Influential Data for Targeted Instruction Tuning.M. Xia, S. Malladi, S. Gururangan, S. Arora, and D. Chen. CoRR, (2024)M2D2: A Massively Multi-Domain Language Modeling Dataset.M. Reid, V. Zhong, S. Gururangan, and L. Zettlemoyer. EMNLP, page 964-975. Association for Computational Linguistics, (2022)Language models scale reliably with over-training and on downstream tasks.S. Gadre, G. Smyrnis, V. Shankar, S. Gururangan, M. Wortsman, R. Shao, J. Mercat, A. Fang, J. Li, S. Keh and 13 other author(s). CoRR, (2024)AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters.L. Lucy, S. Gururangan, L. Soldaini, E. Strubell, D. Bamman, L. Klein, and J. Dodge. CoRR, (2024)Time is Encoded in the Weights of Finetuned Language Models.K. Nylund, S. Gururangan, and N. Smith. CoRR, (2023)Show Your Work: Improved Reporting of Experimental Results.J. Dodge, S. Gururangan, D. Card, R. Schwartz, and N. Smith. EMNLP/IJCNLP (1), page 2185-2194. Association for Computational Linguistics, (2019)Information Flow Control in Machine Learning through Modular Model Architecture.T. Tiwari, S. Gururangan, C. Guo, W. Hua, S. Kariyappa, U. Gupta, W. Xiong, K. Maeng, H. Lee, and G. Suh. CoRR, (2023)DEMix Layers: Disentangling Domains for Modular Language Modeling.S. Gururangan, M. Lewis, A. Holtzman, N. Smith, and L. Zettlemoyer. NAACL-HLT, page 5557-5576. Association for Computational Linguistics, (2022)

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

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

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