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Chenze Shao
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2020 – today
- 2024
- [c19]Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou:
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. ACL (1) 2024: 3800-3814 - [c18]Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou:
Instruction Position Matters in Sequence Generation with Large Language Models. ACL (Findings) 2024: 11652-11663 - [c17]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. ICML 2024 - [i20]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. CoRR abs/2405.18906 (2024) - [i19]Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou:
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. CoRR abs/2405.18922 (2024) - [i18]Chenze Shao, Fandong Meng, Jie Zhou:
Patch-Level Training for Large Language Models. CoRR abs/2407.12665 (2024) - 2023
- [j2]Nian Yi
, Chenze Shao
Integrating Reconstructor and Post-Editor into Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 163:1-163:15 (2023) - [c16]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-autoregressive Machine Translation. AAAI 2023: 13538-13546 - [c15]Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng:
Non-autoregressive Streaming Transformer for Simultaneous Translation. EMNLP 2023: 5177-5190 - [c14]Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng:
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. ICLR 2023 - [c13]Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng:
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. NeurIPS 2023 - [c12]Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng:
Beyond MLE: Convex Learning for Text Generation. NeurIPS 2023 - [i17]Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng:
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. CoRR abs/2303.06662 (2023) - [i16]Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng:
Non-autoregressive Streaming Transformer for Simultaneous Translation. CoRR abs/2310.14883 (2023) - [i15]Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng:
Beyond MLE: Convex Learning for Text Generation. CoRR abs/2310.17217 (2023) - [i14]Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng:
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. CoRR abs/2311.07941 (2023) - 2022
- [c11]Chenze Shao, Yang Feng:
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. ACL (1) 2022: 2023-2036 - [c10]Chenze Shao, Zhengrui Ma, Yang Feng:
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. EMNLP (Findings) 2022: 4390-4397 - [c9]Chenze Shao, Xuanfu Wu, Yang Feng:
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. NAACL-HLT 2022: 3779-3791 - [c8]Chenze Shao, Yang Feng:
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation. NeurIPS 2022 - [i13]Chenze Shao, Yang Feng:
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. CoRR abs/2203.03910 (2022) - [i12]Chenze Shao, Xuanfu Wu, Yang Feng:
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. CoRR abs/2205.14333 (2022) - [i11]Chenze Shao, Yang Feng:
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation. CoRR abs/2210.03953 (2022) - [i10]Chenze Shao, Zhengrui Ma, Yang Feng:
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. CoRR abs/2210.05193 (2022) - [i9]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-Autoregressive Machine Translation. CoRR abs/2211.16863 (2022) - 2021
- [j1]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. Comput. Linguistics 47(4): 891-925 (2021) - [c7]Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao:
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2862-2872 - [c6]Yong Shan, Yang Feng, Chenze Shao:
Modeling Coverage for Non-Autoregressive Neural Machine Translation. IJCNN 2021: 1-8 - [i8]Yong Shan, Yang Feng, Chenze Shao:
Modeling Coverage for Non-Autoregressive Neural Machine Translation. CoRR abs/2104.11897 (2021) - [i7]Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao:
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. CoRR abs/2106.06751 (2021) - [i6]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. CoRR abs/2106.08122 (2021) - 2020
- [c5]Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. AAAI 2020: 59-66 - [c4]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. AAAI 2020: 198-205 - [c3]Xuanfu Wu, Yang Feng, Chenze Shao:
Generating Diverse Translation from Model Distribution with Dropout. EMNLP (1) 2020: 1088-1097 - [i5]Xuanfu Wu, Yang Feng, Chenze Shao:
Generating Diverse Translation from Model Distribution with Dropout. CoRR abs/2010.08178 (2020)
2010 – 2019
- 2019
- [c2]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 3013-3024 - [i4]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.09444 (2019) - [i3]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.09320 (2019) - [i2]Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. CoRR abs/1912.00178 (2019) - 2018
- [c1]Chenze Shao, Xilin Chen, Yang Feng:
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. EMNLP 2018: 4778-4784 - [i1]Chenze Shao, Yang Feng, Xilin Chen:
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. CoRR abs/1809.03132 (2018)
Coauthor Index
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last updated on 2024-09-26 01:00 CEST by the dblp team
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