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Attention-guided Generative Models for Extractive Question Answering



Peng Xu , Davis Liang , Zhiheng Huang , Bing Xiang

* 10 pages 

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Multiplicative Position-aware Transformer Models for Language Understanding



Zhiheng Huang , Davis Liang , Peng Xu , Bing Xiang

* arXiv admin note: text overlap with arXiv:2009.13658 

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Decoding and Diversity in Machine Translation



Nicholas Roberts , Davis Liang , Graham Neubig , Zachary C. Lipton

* Presented at the Resistance AI Workshop, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada 

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Improve Transformer Models with Better Relative Position Embeddings



Zhiheng Huang , Davis Liang , Peng Xu , Bing Xiang

* Accepted as Findings of EMNLP 2020 

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TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding



Zhiheng Huang , Peng Xu , Davis Liang , Ajay Mishra , Bing Xiang


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Pseudolikelihood Reranking with Masked Language Models



Julian Salazar , Davis Liang , Toan Q. Nguyen , Katrin Kirchhoff

* Work in progress. An earlier version will be presented at DeepLo 2019. https://github.com/aws-samples/amazon-transcribe-research-pseudolikelihood 

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Learning Noise-Invariant Representations for Robust Speech Recognition



Davis Liang , Zhiheng Huang , Zachary C. Lipton

* Under Review at IEEE SLT 2018 

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Deep Automated Multi-task Learning



Davis Liang , Yan Shu

* IJCNLP 2017 

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