Fei Huang

Affiliations:
  • Tsinghua University, Beijing National Research Center for Information Science and Technology, Institute for Artificial Intelligence, Beijing, China


According to our database1, Fei Huang authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation.
CoRR, 2023

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

2022
Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
Proceedings of the International Conference on Machine Learning, 2022

On the Learning of Non-Autoregressive Transformers.
Proceedings of the International Conference on Machine Learning, 2022

Chaining Simultaneous Thoughts for Numerical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
A Semantic-based Method for Unsupervised Commonsense Question Answering.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation.
Trans. Assoc. Comput. Linguistics, 2020

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation.
CoRR, 2020

2019
ARAML: A Stable Adversarial Training Framework for Text Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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