Xiaodong Liu
Xiaodong Liu
Microsoft Research
Verified email at microsoft.com - Homepage
TitleCited byYear
MS MARCO: a human-generated machine reading comprehension dataset
T Nguyen, M Rosenberg, X Song, J Gao, S Tiwary, R Majumder, L Deng
2732016
Representation learning using multi-task deep neural networks for semantic classification and information retrieval
X Liu, J Gao, X He, L Deng, K Duh, YY Wang
2222015
Multi-task deep neural networks for natural language understanding
X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1901.11504, 2019
1362019
Stochastic answer networks for machine reading comprehension
X Liu, Y Shen, K Duh, J Gao
arXiv preprint arXiv:1712.03556, 2017
862017
On the variance of the adaptive learning rate and beyond
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
arXiv preprint arXiv:1908.03265, 2019
412019
Unified Language Model Pre-training for Natural Language Understanding and Generation
L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon
arXiv preprint arXiv:1905.03197, 2019
342019
Towards human-level machine reading comprehension: Reasoning and inference with multiple strategies
Y Xu, J Liu, J Gao, Y Shen, X Liu
arXiv preprint arXiv:1711.04964, 2017
26*2017
Ms marco: A human generated machine reading comprehension dataset
P Bajaj, D Campos, N Craswell, L Deng, J Gao, X Liu, R Majumder, ...
arXiv preprint arXiv:1611.09268, 2016
252016
Record: Bridging the gap between human and machine commonsense reading comprehension
S Zhang, X Liu, J Liu, J Gao, K Duh, B Van Durme
arXiv preprint arXiv:1810.12885, 2018
222018
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1904.09482, 2019
202019
Representation learning using multi-task deep neural networks
J Gao, L Deng, X He, YY Wang, K Duh, X Liu
US Patent 10,089,576, 2018
192018
Language-based image editing with recurrent attentive models
J Chen, Y Shen, J Gao, J Liu, X Liu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
182018
Stochastic answer networks for natural language inference
X Liu, K Duh, J Gao
arXiv preprint arXiv:1804.07888, 2018
172018
Topic models+ word alignment= a flexible framework for extracting bilingual dictionary from comparable corpus
X Liu, K Duh, Y Matsumoto
Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013
162013
Cyclical annealing schedule: A simple approach to mitigating kl vanishing
X Liu, J Gao, A Celikyilmaz, L Carin
arXiv preprint arXiv:1903.10145, 2019
142019
A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking
X Liu, F Cheng, Y Luo, K Duh, Y Matsumoto
Sixth International Joint Conference on Natural Language Processing, 2013
122013
Multilingual Topic Models for Bilingual Dictionary Extraction
X Liu, K Duh, Y Matsumoto
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2015
112015
A hybrid retrieval-generation neural conversation model
L Yang, J Hu, M Qiu, C Qu, J Gao, WB Croft, X Liu, Y Shen, J Liu
Proceedings of the 28th ACM International Conference on Information and …, 2019
92019
Conversing by reading: Contentful neural conversation with on-demand machine reading
L Qin, M Galley, C Brockett, X Liu, X Gao, B Dolan, Y Choi, J Gao
arXiv preprint arXiv:1906.02738, 2019
82019
Stochastic answer networks for squad 2.0
X Liu, W Li, Y Fang, A Kim, K Duh, J Gao
arXiv preprint arXiv:1809.09194, 2018
82018
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