Fei Huang

According to our database, Fei Huang authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing.

Yilin Niu, Fei Huang, Wei Liu, Jianwei Cui, Bin Wang, Minlie Huang

Trans. Assoc. Comput. Linguistics, 2023

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation.

Fei Huang, Pei Ke, Minlie Huang

Trans. Assoc. Comput. Linguistics, 2023

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation.

Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

2022

Directed Acyclic Transformer for Non-Autoregressive Machine Translation.

Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang

Proceedings of the International Conference on Machine Learning, 2022

On the Learning of Non-Autoregressive Transformers.

Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang

Proceedings of the International Conference on Machine Learning, 2022

Chaining Simultaneous Thoughts for Numerical Reasoning.

Zhihong Shao, Fei Huang, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

A Semantic-based Method for Unsupervised Commonsense Question Answering.

Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation.

Jian Guan, Fei Huang, Minlie Huang, Zhihao Zhao, Xiaoyan Zhu

Trans. Assoc. Comput. Linguistics, 2020

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

Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang

CoRR, 2020

2019

ARAML: A Stable Adversarial Training Framework for Text Generation.

Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019