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MoEfication: Conditional Computation of Transformer Models for Efficient Inference


Oct 15, 2021
Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou


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Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning


Oct 15, 2021
Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou


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RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models


Oct 15, 2021
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

* EMNLP 2021 (main conference), long paper, camera-ready version 

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Topology-Imbalance Learning for Semi-Supervised Node Classification


Oct 08, 2021
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

* Accepted By NeurIPS 2021 

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Dynamic Knowledge Distillation for Pre-trained Language Models


Sep 23, 2021
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

* Main Conference EMNLP 2021, Camera Ready 

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Pack Together: Entity and Relation Extraction with Levitated Marker


Sep 13, 2021
Deming Ye, Yankai Lin, Maosong Sun


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Fully Hyperbolic Neural Networks


May 31, 2021
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou


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CLEVE: Contrastive Pre-training for Event Extraction


May 30, 2021
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou

* Accepted at ACL 2021 

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Knowledge Inheritance for Pre-trained Language Models


May 28, 2021
Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

* preprint 

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TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference


May 25, 2021
Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun

* Accepted by NAACL2021 

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Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction


May 20, 2021
Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

* ACL 2021 Findings 

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CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models


Mar 03, 2021
Yusheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun


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Representation Learning for Natural Language Processing


Feb 07, 2021
Zhiyuan Liu, Yankai Lin, Maosong Sun

* Published in Springer 

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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning


Dec 30, 2020
Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou

* preprint 

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Accelerating Pre-trained Language Models via Calibrated Cascade


Dec 29, 2020
Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

* Preprint 

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DisenE: Disentangling Knowledge Graph Embeddings


Nov 12, 2020
Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou, Yan Zhang

* There are some mistakes in the paper 

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Disentangle-based Continual Graph Representation Learning


Oct 06, 2020
Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang


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Learning from Context or Names? An Empirical Study on Neural Relation Extraction


Oct 05, 2020
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

* Accepted by EMNLP 2020 

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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models


Oct 01, 2020
Yusheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun


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Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation


Jun 09, 2020
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

* This work has been accepted for publication at ACL2020 

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MAVEN: A Massive General Domain Event Detection Dataset


Apr 28, 2020
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou

* 9 pages, 2 figures; Work in progress 

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Coreferential Reasoning Learning for Language Representation


Apr 15, 2020
Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu


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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction


Apr 07, 2020
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou


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Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks


Nov 10, 2019
Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun

* 8 pages 

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Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information


Nov 06, 2019
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

* 12 pages, 5 figures 

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Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network


Nov 06, 2019
Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun


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NumNet: Machine Reading Comprehension with Numerical Reasoning


Oct 15, 2019
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu

* Accepted to EMNLP2019; 11 pages, 2 figures, 6 tables 

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