Chenze Shao

48 papers A* 12B 1Journal 26Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
General learned delegation by clones.
CoRR
Darren Li, Meiqi Chen, Chenze Shao, Fandong Meng, Jie Zhou
2025 A* conf
Beyond Next Token Prediction: Patch-Level Training for Large Language Models.
ICLR
Chenze Shao, Fandong Meng, Jie Zhou
2025 J jnl
Continuous Autoregressive Language Models.
CoRR
Chenze Shao, Darren Li, Fandong Meng, Jie Zhou
2025 A* conf
Continuous Visual Autoregressive Generation via Score Maximization.
ICML
Chenze Shao, Fandong Meng, Jie Zhou
2025 J jnl
Continuous Visual Autoregressive Generation via Score Maximization.
CoRR
Chenze Shao, Fandong Meng, Jie Zhou
2025 J jnl
Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space.
CoRR
Zhengrui Ma, Yang Feng, Chenze Shao, Fandong Meng, Jie Zhou, Min Zhang
2024 — conf
Instruction Position Matters in Sequence Generation with Large Language Models.
ACL (Findings)
Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou
2024 A* conf
Language Generation with Strictly Proper Scoring Rules.
ICML
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
2024 J jnl
Language Generation with Strictly Proper Scoring Rules.
CoRR
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
2024 J jnl
Patch-Level Training for Large Language Models.
CoRR
Chenze Shao, Fandong Meng, Jie Zhou
2024 — conf
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective.
ACL (1)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
2024 J jnl
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective.
CoRR
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
2023 A* conf
Beyond MLE: Convex Learning for Text Generation.
NeurIPS
Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng
2023 J jnl
Beyond MLE: Convex Learning for Text Generation.
CoRR
Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng
2023 A* conf
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation.
ICLR
Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng
2023 J jnl
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation.
CoRR
Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng
2023 J jnl
Integrating Reconstructor and Post-Editor into Neural Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Nian Yi, Chenze Shao, Aishan Wumaier
2023 A* conf
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar.
NeurIPS
Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng
2023 J jnl
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar.
CoRR
Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng
2023 A* conf
Non-autoregressive Streaming Transformer for Simultaneous Translation.
EMNLP
Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng
2023 J jnl
Non-autoregressive Streaming Transformer for Simultaneous Translation.
CoRR
Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng
2023 A* conf
Rephrasing the Reference for Non-autoregressive Machine Translation.
AAAI
Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng
2022 — conf
Non-Autoregressive Models for Fast Sequence Generation.
EMNLP (Tutorial Abstracts)
Yang Feng, Chenze Shao
2022 A* conf
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation.
NeurIPS
Chenze Shao, Yang Feng
2022 J jnl
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation.
CoRR
Chenze Shao, Yang Feng
2022 — conf
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation.
NAACL-HLT
Chenze Shao, Xuanfu Wu, Yang Feng
2022 J jnl
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation.
CoRR
Chenze Shao, Xuanfu Wu, Yang Feng
2022 — conf
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation.
ACL (1)
Chenze Shao, Yang Feng
2022 J jnl
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation.
CoRR
Chenze Shao, Yang Feng
2022 J jnl
Rephrasing the Reference for Non-Autoregressive Machine Translation.
CoRR
Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng
2022 — conf
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
EMNLP (Findings)
Chenze Shao, Zhengrui Ma, Yang Feng
2022 J jnl
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
CoRR
Chenze Shao, Zhengrui Ma, Yang Feng
2021 — conf
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation.
ACL/IJCNLP (1)
Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao
2021 J jnl
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation.
CoRR
Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao
2021 B conf
Modeling Coverage for Non-Autoregressive Neural Machine Translation.
IJCNN
Yong Shan, Yang Feng, Chenze Shao
2021 J jnl
Modeling Coverage for Non-Autoregressive Neural Machine Translation.
CoRR
Yong Shan, Yang Feng, Chenze Shao
2021 J jnl
Sequence-Level Training for Non-Autoregressive Neural Machine Translation.
Comput. Linguistics
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou
2021 J jnl
Sequence-Level Training for Non-Autoregressive Neural Machine Translation.
CoRR
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou
2020 — conf
Generating Diverse Translation from Model Distribution with Dropout.
EMNLP (1)
Xuanfu Wu, Yang Feng, Chenze Shao
2020 J jnl
Generating Diverse Translation from Model Distribution with Dropout.
CoRR
Xuanfu Wu, Yang Feng, Chenze Shao
2020 A* conf
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.
AAAI
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
2020 A* conf
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation.
AAAI
Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu
2019 J jnl
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.
CoRR
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
2019 J jnl
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation.
CoRR
Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu
2019 — conf
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.
ACL (1)
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
2019 J jnl
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.
CoRR
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
2018 A* conf
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation.
EMNLP
Chenze Shao, Xilin Chen, Yang Feng
2018 J jnl
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation.
CoRR
Chenze Shao, Yang Feng, Xilin Chen