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One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code



Yong Dai , Duyu Tang , Liangxin Liu , Minghuan Tan , Cong Zhou , Jingquan Wang , Zhangyin Feng , Fan Zhang , Xueyu Hu , Shuming Shi


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SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach



Junwei Liao , Duyu Tang , Fan Zhang , Shuming Shi

* 8 pages,3 figures 

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Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors



Cong Zhou , Yong Dai , Duyu Tang , Enbo Zhao , Zhangyin Feng , Li Kuang , Shuming Shi

* 12 pages 

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A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation



Yu Cao , Wei Bi , Meng Fang , Shuming Shi , Dacheng Tao

* Accepted to ACL 2022 (long paper) 

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Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics



Jiannan Xiang , Huayang Li , Yahui Liu , Lemao Liu , Guoping Huang , Defu Lian , Shuming Shi

* Findings of ACL 2022 

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Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation



Zhiwei He , Xing Wang , Rui Wang , Shuming Shi , Zhaopeng Tu

* 13 pages, ACL 2022 

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Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation



Wenxuan Wang , Wenxiang Jiao , Yongchang Hao , Xing Wang , Shuming Shi , Zhaopeng Tu , Michael Lyu

* Accepted by ACL 2022 main conference 

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MarkBERT: Marking Word Boundaries Improves Chinese BERT



Linyang Li , Yong Dai , Duyu Tang , Zhangyin Feng , Cong Zhou , Xipeng Qiu , Zenglin Xu , Shuming Shi

* Work in progress 

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Efficient Sub-structured Knowledge Distillation



Wenye Lin , Yangming Li , Lemao Liu , Shuming Shi , Hai-tao Zheng


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One Model, Multiple Tasks: Pathways for Natural Language Understanding



Duyu Tang , Fan Zhang , Yong Dai , Cong Zhou , Shuangzhi Wu , Shuming Shi


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