JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding-Reference-Cited by-同舟云学术

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Zhao Wayne Xin¹,Zhou Kun¹,Gong Zheng¹,Zhang Beichen¹,Zhou Yuanhang¹,Sha Jing²,Chen Zhigang²,Wang Shijin³,Liu Cong²,Wen Ji-Rong¹

Affiliation:

1. Renmin University of China, Beijing, China

2. iFLYTEK Research, Hefei, China

3. AI Research (Central China), iFLYTEK, Wuhan, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539131

Reference38 articles.

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4. Yiming Cui , Wanxiang Che , Ting Liu , Bing Qin , and Ziqing Yang . 2021. Pre-training with whole word masking for chinese bert. TASLP ( 2021 ). Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, and Ziqing Yang. 2021. Pre-training with whole word masking for chinese bert. TASLP (2021).

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL.

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