January 1, 2021Open Access

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

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Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

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Xue et al. (Fri,) studied this question.

synapsesocial.com/papers/69d84d9f8c03fbaff8beee50 — DOI: https://doi.org/10.18653/v1/2021.naacl-main.41

Authors

Linting Xue

Google (United States)

Noah Constant

Google (United States)

Adam P. Roberts

Liverpool School of Tropical Medicine

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Google (United States)

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Analyzing shared references across papers

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

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Resumen

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Discussion

Cite this study

Authors

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Citation Network

Connected Papers

Discussion