287 citations · 440 across the 20 of their papers we have counts for
4 papers · 2 filters
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade
Jiatao Gu, Xiang Kong
Fully non-autoregressive neural machine translation (NAT) is proposed to simultaneously predict tokens with single forward of neural networks, which significantly reduces the infer…
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
Xiang Kong, Zhisong Zhang, Eduard Hovy
In this work, we introduce a novel local autoregressive translation (LAT) mechanism into non-autoregressive translation (NAT) models so as to capture local dependencies among tar-g…
Deep Transformers with Latent Depth
Xian Li, Asa Cooper Stickland, Yuqing Tang +1
The Transformer model has achieved state-of-the-art performance in many sequence modeling tasks. However, how to leverage model capacity with large or variable depths is still an o…
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations
Xiang Kong, Varun Gangal, Eduard Hovy
We introduce SCDE, a dataset to evaluate the performance of computational models through sentence prediction. SCDE is a human-created sentence cloze dataset, collected from public…