InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training - researchr publication authors

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Zewen Chi, Li Dong 0004, Furu Wei, Nan Yang 0002, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou 0001. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. In Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty 0002, Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. pages 3576-3588, Association for Computational Linguistics, 2021. [doi]

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