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A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation

Sep 15, 2020
Moin Nadeem, Tianxing He, Kyunghyun Cho, James Glass

* To appear at AACL 2020; 9 pages, 12 figures, 2 tables 

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Constructing a Knowledge Graph from Unstructured Documents without External Alignment

Aug 20, 2020
Seunghak Yu, Tianxing He, James Glass

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Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models

Oct 29, 2019
Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James Glass, Fuchun Peng

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From Data Quality to Model Quality: an Exploratory Study on Deep Learning

Jun 10, 2019
Tianxing He, Shengcheng Yu, Ziyuan Wang, Jieqiong Li, Zhenyu Chen

* 4pages 

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Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition

May 28, 2019
Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie

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Quantifying Exposure Bias for Neural Language Generation

May 25, 2019
Tianxing He, Jingzhao Zhang, Zhiming Zhou, James Glass

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Negative Training for Neural Dialogue Response Generation

Mar 06, 2019
Tianxing He, James Glass

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Detecting egregious responses in neural sequence-to-sequence models

Oct 03, 2018
Tianxing He, James Glass

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On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation

Feb 25, 2016
Tianxing He, Yu Zhang, Jasha Droppo, Kai Yu

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