MiLMo:Minority Multilingual Pre-Trained Language Model-Reference-Cited by-同舟云学术

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MiLMo:Minority Multilingual Pre-Trained Language Model

Published:2023-10-01 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Deng Junjie¹,Shi Hanru¹,Yu Xinhe¹,Bao Wugedele²,Sun Yuan¹,Zhao Xiaobing¹

Affiliation:

1. School of information engineering, Minzu University of China,Beijing,100081

2. Hohhot Minzu College,Hohhot,010000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10393961.pdf?arnumber=10393961

Reference30 articles.

1. Bert: Pre-training of deep bidi-rectional transformers for language understanding;Devlin

2. Exploring the limits of transfer learning with a unified text-to-text transformer;Raffel;The Journal of Machine Learning Research,2020

3. Xlnet: Generalized autoregressive pre-training for language understanding;Yang;Advances in neural information processing systems,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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