Chenze Shao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Machine Translation

Directed Acyclic

Top Venues

Publications

Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou
Instruction Position Matters in Sequence Generation with Large Language Models. ACL (Findings) (2024)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. CoRR (2024)
Chenze Shao, Fandong Meng, Jie Zhou
Patch-Level Training for Large Language Models. CoRR (2024)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. ACL (1) (2024)
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
Language Generation with Strictly Proper Scoring Rules. CoRR (2024)
Nian Yi, Chenze Shao, Aishan Wumaier
Integrating Reconstructor and Post-Editor into Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (6) (2023)
Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng
Rephrasing the Reference for Non-autoregressive Machine Translation. AAAI (2023)
Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. CoRR (2023)
Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng
Non-autoregressive Streaming Transformer for Simultaneous Translation. EMNLP (2023)
Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. ICLR (2023)
Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. CoRR (2023)
Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng
Beyond MLE: Convex Learning for Text Generation. CoRR (2023)
Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng
Non-autoregressive Streaming Transformer for Simultaneous Translation. CoRR (2023)
Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng
Beyond MLE: Convex Learning for Text Generation. NeurIPS (2023)
Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. NeurIPS (2023)
Chenze Shao, Yang Feng
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation. CoRR (2022)
Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng
Rephrasing the Reference for Non-Autoregressive Machine Translation. CoRR (2022)
Chenze Shao, Zhengrui Ma, Yang Feng
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. CoRR (2022)
Chenze Shao, Yang Feng
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. CoRR (2022)
Chenze Shao, Yang Feng
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. ACL (1) (2022)
Chenze Shao, Yang Feng
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation. NeurIPS (2022)
Chenze Shao, Xuanfu Wu, Yang Feng
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. CoRR (2022)
Chenze Shao, Xuanfu Wu, Yang Feng
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. NAACL-HLT (2022)
Chenze Shao, Zhengrui Ma, Yang Feng
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. EMNLP (Findings) (2022)
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. CoRR (2021)
Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. ACL/IJCNLP (1) (2021)
Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. CoRR (2021)
Yong Shan, Yang Feng, Chenze Shao
Modeling Coverage for Non-Autoregressive Neural Machine Translation. IJCNN (2021)
Yong Shan, Yang Feng, Chenze Shao
Modeling Coverage for Non-Autoregressive Neural Machine Translation. CoRR (2021)
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. Comput. Linguistics 47 (4) (2021)
Xuanfu Wu, Yang Feng, Chenze Shao
Generating Diverse Translation from Model Distribution with Dropout. CoRR (2020)
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. AAAI (2020)
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)
Xuanfu Wu, Yang Feng, Chenze Shao
Generating Diverse Translation from Model Distribution with Dropout. EMNLP (1) (2020)
Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. CoRR (2019)
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. CoRR (2019)
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. ACL (1) (2019)
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. CoRR (2019)
Chenze Shao, Xilin Chen, Yang Feng
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. EMNLP (2018)
Chenze Shao, Yang Feng, Xilin Chen
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. CoRR (2018)