| 2025 | ICLR | Beyond Next Token Prediction: Patch-Level Training for Large Language Models. | Chenze Shao, Fandong Meng, Jie Zhou |
| 2025 | ICML | Continuous Visual Autoregressive Generation via Score Maximization. | Chenze Shao, Fandong Meng, Jie Zhou |
| 2024 | ACL | Instruction Position Matters in Sequence Generation with Large Language Models. | Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou |
| 2024 | ACL | Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. | Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou |
| 2024 | ICML | Language Generation with Strictly Proper Scoring Rules. | Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou |
| 2023 | AAAI | Rephrasing the Reference for Non-autoregressive Machine Translation. | Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng |
| 2023 | EMNLP | Non-autoregressive Streaming Transformer for Simultaneous Translation. | Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng |
| 2023 | ICLR | Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. | Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng |
| 2022 | ACL | Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. | Chenze Shao, Yang Feng |
| 2022 | EMNLP | Non-Autoregressive Models for Fast Sequence Generation. | Yang Feng, Chenze Shao |
| 2022 | EMNLP | Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. | Chenze Shao, Zhengrui Ma, Yang Feng |
| 2022 | NAACL | One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. | Chenze Shao, Xuanfu Wu, Yang Feng |
| 2021 | ACL | Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. | Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao |
| 2021 | IJCNN | Modeling Coverage for Non-Autoregressive Neural Machine Translation. | Yong Shan, Yang Feng, Chenze Shao |
| 2020 | AAAI | Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. | Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu |
| 2020 | AAAI | Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. | Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou |
| 2020 | EMNLP | Generating Diverse Translation from Model Distribution with Dropout. | Xuanfu Wu, Yang Feng, Chenze Shao |
| 2019 | ACL | Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. | Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou |
| 2018 | EMNLP | Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. | Chenze Shao, Xilin Chen, Yang Feng |