activity
20192022
most citedDirected Acyclic Transformer for Non-Autoregressive Machine Translation

28 citations · 55 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL20221 cited

Chaining Simultaneous Thoughts for Numerical Reasoning

Zhihong Shao, Fei Huang, Minlie Huang

Given that rich information is hidden behind ubiquitous numbers in text, numerical reasoning over text should be an essential skill of AI systems. To derive precise equations to so…

cs.CL202228 cited

Directed Acyclic Transformer for Non-Autoregressive Machine Translation

Fei Huang, Hao Zhou, Yang Liu +2

Non-autoregressive Transformers (NATs) significantly reduce the decoding latency by generating all tokens in parallel. However, such independent predictions prevent NATs from captu…

cs.CL2021

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Fei Huang, Zikai Chen, Chen Henry Wu +3

Autoregressive models have been widely used in unsupervised text style transfer. Despite their success, these models still suffer from the content preservation problem that they us…

cs.CL20213 cited

A Semantic-based Method for Unsupervised Commonsense Question Answering

Yilin Niu, Fei Huang, Jiaming Liang +3

Unsupervised commonsense question answering is appealing since it does not rely on any labeled task data. Among existing work, a popular solution is to use pre-trained language mod…

cs.CL20205 cited

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation

Fei Huang, Dazhen Wan, Zhihong Shao +5

In text generation evaluation, many practical issues, such as inconsistent experimental settings and metric implementations, are often ignored but lead to unfair evaluation and unt…

cs.CL202018 cited

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

Jian Guan, Fei Huang, Zhihao Zhao +2

Story generation, namely generating a reasonable story from a leading context, is an important but challenging task. In spite of the success in modeling fluency and local coherence…