January 1, 2023Open Access

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

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Abstract

Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, Ryan Cotterell. Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. 2023.

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Authors

Alex Warstadt

ETH Zurich

Aaron Mueller

Boston University

Leshem Choshen

University of North Carolina at Chapel Hill

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University of Washington

New York University

ETH Zurich

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Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

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Abstract

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Discussion

Authors

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