699 citations · 783 across the 13 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 7 cited
Importance-Aware Learning for Neural Headline Editing
Qingyang Wu, Lei Li, Hao Zhou +2
Many social media news writers are not professionally trained. Therefore, social media platforms have to hire professional editors to adjust amateur headlines to attract more reade…
cs.CL2019★ 32 cited
Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models
Qingyang Wu, Yichi Zhang, Yu Li +1
Existing dialog system models require extensive human annotations and are difficult to generalize to different tasks. The recent success of large pre-trained language models such a…
cs.LG2019★ 7 cited
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks
Qingyang Wu, He Li, Lexin Li +1
With the widespread success of deep neural networks in science and technology, it is becoming increasingly important to quantify the uncertainty of the predictions produced by deep…