Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. - Chenze Shao; Xilin Chen 001; Yang Feng 004 (EMNLP, 2018)

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. - Chenze Shao; Yang Feng 004; Jinchao Zhang 001; Fandong Meng; Xilin Chen 001; Jie Zhou 016 (ACL (1), 2019)

Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. - Yang Feng 004; Wanying Xie; Shuhao Gu; Chenze Shao; Wen Zhang 009; Zhengxin Yang; Dong Yu 003 (AAAI, 2020)

Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. - Chenze Shao; Jinchao Zhang 001; Yang Feng 004; Fandong Meng; Jie Zhou 016 (AAAI, 2020)

Generating Diverse Translation from Model Distribution with Dropout. - Xuanfu Wu; Yang Feng 004; Chenze Shao (EMNLP (1), 2020)

Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. - Yang Feng 004; Shuhao Gu; Dengji Guo; Zhengxin Yang; Chenze Shao (ACL/IJCNLP (1), 2021)

Modeling Coverage for Non-Autoregressive Neural Machine Translation. - Yong Shan; Yang Feng 004; Chenze Shao (IJCNN, 2021)

Sequence-Level Training for Non-Autoregressive Neural Machine Translation. - Chenze Shao; Yang Feng 004; Jinchao Zhang 001; Fandong Meng; Jie Zhou 016 (Comput. Linguistics, 2021)

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. - Chenze Shao; Yang Feng 004 (ACL (1), 2022)

Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. - Chenze Shao; Zhengrui Ma; Yang Feng 004 (EMNLP (Findings), 2022)

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. - Chenze Shao; Xuanfu Wu; Yang Feng 004 (NAACL-HLT, 2022)

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation. - Chenze Shao; Yang Feng 004 (NeurIPS, 2022)

Rephrasing the Reference for Non-autoregressive Machine Translation. - Chenze Shao; Jinchao Zhang 001; Jie Zhou 016; Yang Feng 004 (AAAI, 2023)

Non-autoregressive Streaming Transformer for Simultaneous Translation. - Zhengrui Ma; Shaolei Zhang; Shoutao Guo; Chenze Shao; Min Zhang 005; Yang Feng 004 (EMNLP, 2023)

Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. - Zhengrui Ma; Chenze Shao; Shangtong Gui; Min Zhang 005; Yang Feng 004 (ICLR, 2023)

Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. - Shangtong Gui; Chenze Shao; Zhengrui Ma; Xishan Zhang; Yunji Chen; Yang Feng 004 (NeurIPS, 2023)

Beyond MLE: Convex Learning for Text Generation. - Chenze Shao; Zhengrui Ma; Min Zhang 005; Yang Feng 004 (NeurIPS, 2023)

Integrating Reconstructor and Post-Editor into Neural Machine Translation. - Nian Yi; Chenze Shao; Aishan Wumaier (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Instruction Position Matters in Sequence Generation with Large Language Models. - Yijin Liu; Xianfeng Zeng; Chenze Shao; Fandong Meng; Jie Zhou 016 (ACL (Findings), 2024)

Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. - Chenze Shao; Fandong Meng; Jiali Zeng; Jie Zhou 016 (ACL (1), 2024)

Language Generation with Strictly Proper Scoring Rules. - Chenze Shao; Fandong Meng; Yijin Liu; Jie Zhou 016 (ICML, 2024)

Patch-Level Training for Large Language Models. - Chenze Shao; Fandong Meng; Jie Zhou 016 (CoRR, 2024)

Beyond Next Token Prediction: Patch-Level Training for Large Language Models. - Chenze Shao; Fandong Meng; Jie Zhou (ICLR, 2025)

Continuous Visual Autoregressive Generation via Score Maximization. - Chenze Shao; Fandong Meng; Jie Zhou 016 (CoRR, 2025)

Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space. - Zhengrui Ma; Yang Feng 004; Chenze Shao; Fandong Meng; Jie Zhou 016; Min Zhang 005 (CoRR, 2025)