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Posterior Differential Regularization with f-divergence for Improving Model Robustness

Oct 23, 2020
Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao


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A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing

Sep 30, 2020
Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji

* COLING 2020 

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Generation-Augmented Retrieval for Open-domain Question Answering

Sep 17, 2020
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen


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HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Aug 28, 2020
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji


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Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Aug 20, 2020
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon


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Very Deep Transformers for Neural Machine Translation

Aug 18, 2020
Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao

* 6 pages, 3 figures and 3 tables 

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DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Jun 05, 2020
Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen

* 17 pages,4 figures, 8 tables 

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Adversarial Training for Commonsense Inference

May 17, 2020
Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi

* ACL2020 RepL4NLP workshop 
* 6 pages, Accepted to ACL2020 RepL4NLP workshop 

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Adversarial Training for Large Neural Language Models

Apr 29, 2020
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao

* 13 pages, 9 tables, 2 figures 

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Understanding the Difficulty of Training Transformers

Apr 17, 2020
Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han


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UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

Feb 28, 2020
Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon

* 11 pages 

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The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding

Feb 19, 2020
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao

* 9 pages, 3 figures and 3 tables 

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MLFcGAN: Multi-level Feature Fusion based Conditional GAN for Underwater Image Color Correction

Feb 13, 2020
Xiaodong Liu, Zhi Gao, Ben M. Chen

* This paper has already been accepted to journal IEEE geoscience and remote sensing letters 

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Multi-Modality Cascaded Fusion Technology for Autonomous Driving

Feb 08, 2020
Hongwu Kuang, Xiaodong Liu, Jingwei Zhang, Zicheng Fang


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RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Nov 10, 2019
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson

* arXiv admin note: text overlap with arXiv:1906.11790 

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SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

Nov 08, 2019
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao


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Adversarial Domain Adaptation for Machine Reading Comprehension

Aug 24, 2019
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang

* Accepted to EMNLP 2019 

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The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy

Aug 22, 2019
Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu

* The manuscript has been published on IEEE Transactions on Cybernetics 

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On the Variance of the Adaptive Learning Rate and Beyond

Aug 08, 2019
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han


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A Hybrid Neural Network Model for Commonsense Reasoning

Jul 27, 2019
Pengcheng He, Xiaodong Liu, Weizhu Chen, Jianfeng Gao

* 9 pages, 3 figures, 6 tables 

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DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain

Jun 11, 2019
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao

* Proceedings of the BioNLP 2019 workshop, ACL 2019; 7 pages, 5 tables, 1 figure 

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Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Jun 07, 2019
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao

* ACL 2019 long paper 

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Unified Language Model Pre-training for Natural Language Understanding and Generation

May 08, 2019
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon


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Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Apr 20, 2019
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao

* 8 pages, 2 figures and 3 tables 

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A Hybrid Retrieval-Generation Neural Conversation Model

Apr 19, 2019
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu

* 11 pages 

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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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