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InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

Oct 14, 2020
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

* 20 pages, 8 tables, 2 figures 

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Counterfactual Variable Control for Robust and Interpretable Question Answering

Oct 12, 2020
Sicheng Yu, Yulei Niu, Shuohang Wang, Jing Jiang, Qianru Sun


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Cross-Thought for Sentence Encoder Pre-training

Oct 07, 2020
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu

* Accepted by EMNLP 2020 

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Multi-Fact Correction in Abstractive Text Summarization

Oct 06, 2020
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu

* 12 pages, accepted at EMNLP2020 

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Contrastive Distillation on Intermediate Representations for Language Model Compression

Sep 29, 2020
Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu

* Accepted by EMNLP 2020 

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FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding

Sep 17, 2020
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu

* Top-1 Performance on XTREME (https://sites.research.google/xtreme, September 8, 2020) and XGLUE (https://microsoft.github.io/XGLUE, September 14, 2020) benchmark 

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Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding

Sep 13, 2020
Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu

* 10 pages 

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Accelerating Real-Time Question Answering via Question Generation

Sep 10, 2020
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu


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Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching

Jan 20, 2020
Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

* AAAI 2020, 8 pages 

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Hierarchical Graph Network for Multi-hop Question Answering

Nov 09, 2019
Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu


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What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?

Oct 28, 2019
Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang

* 10 pages 

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Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks

Jun 11, 2019
Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui

* ACL 2019 

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Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

May 26, 2019
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang

* Accepted to ACL 2019 

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Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Apr 03, 2019
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang

* To appear in NAACL 2019, 10 pages 

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A Co-Matching Model for Multi-choice Reading Comprehension

Jun 11, 2018
Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang

* 6, accepted ACL 2018 

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Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

Apr 26, 2018
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell

* 13 pages 

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Learning Natural Language Inference with LSTM

Nov 10, 2016
Shuohang Wang, Jing Jiang

* 10 pages, 2 figures 

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Machine Comprehension Using Match-LSTM and Answer Pointer

Nov 07, 2016
Shuohang Wang, Jing Jiang

* 11 pages; 3 figures 

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A Compare-Aggregate Model for Matching Text Sequences

Nov 06, 2016
Shuohang Wang, Jing Jiang

* 11 pages, 2 figures 

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