Chenze Shao

According to our database, Chenze Shao authored at least 19 papers between 2018 and 2023.

Collaborative distances:

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

2023

Integrating Reconstructor and Post-Editor into Neural Machine Translation.

Nian Yi, Chenze Shao, Aishan Wumaier

ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2023

Beyond MLE: Convex Learning for Text Generation.

Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng

CoRR, 2023

Beyond MLE: Convex Learning for Text Generation.

Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Non-autoregressive Machine Translation with Probabilistic Context-free Grammar.

Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation.

Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Non-autoregressive Streaming Transformer for Simultaneous Translation.

Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Rephrasing the Reference for Non-autoregressive Machine Translation.

Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation.

Chenze Shao, Yang Feng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation.

Chenze Shao, Xuanfu Wu, Yang Feng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation.

Chenze Shao, Zhengrui Ma, Yang Feng

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

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation.

Chenze Shao, Yang Feng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Sequence-Level Training for Non-Autoregressive Neural Machine Translation.

Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou

Comput. Linguistics, 2021

Modeling Coverage for Non-Autoregressive Neural Machine Translation.

Yong Shan, Yang Feng, Chenze Shao

Proceedings of the International Joint Conference on Neural Networks, 2021

Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation.

Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao

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

2020

Generating Diverse Translation from Model Distribution with Dropout.

Xuanfu Wu, Yang Feng, Chenze Shao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.

Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Modeling Fluency and Faithfulness for Diverse Neural Machine Translation.

Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.

Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation.

Chenze Shao, Xilin Chen, Yang Feng

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018