publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. arXiv
    Continuous Autoregressive Language Models
    Chenze Shao, Darren Li, Fandong Meng, and Jie Zhou
    In arXiv preprint arXiv:2510.27688, 2025
    PDF Code
  2. NeurIPS
    Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space
    Zhengrui Ma, Yang Feng, Chenze Shao, Fandong Meng, Jie Zhou, and Min Zhang
    In Neural Information Processing Systems, 2025
    PDF Code
  3. ICML
    Continuous Visual Autoregressive Generation via Score Maximization
    Chenze Shao, Fandong Meng, and Jie Zhou
    In International Conference on Machine Learning, 2025
    PDF Code
  4. ICLR
    Patch-Level Training for Large Language Models
    Chenze Shao, Fandong Meng, and Jie Zhou
    In International Conference on Learning Representations, 2025
    PDF Code

2024

  1. ACL
    Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective
    Chenze Shao, Fandong Meng, Jiali Zeng, and Jie Zhou
    In Association for Computational Linguistics, 2024
    PDF
  2. ICML
    Language generation with strictly proper scoring rules
    Chenze Shao, Fandong Meng, Yijin Liu, and Jie Zhou
    In International Conference on Machine Learning, 2024
    PDF Code
  3. ACL Findings
    Instruction position matters in sequence generation with large language models
    Yijin Liu, Xianfeng Zeng, Fandong Meng, and Jie Zhou
    In Findings of Association for Computational Linguistics, 2024
    PDF

2023

  1. NeurIPS
    Non-autoregressive machine translation with probabilistic context-free grammar
    Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, and Yang Feng
    In Neural Information Processing Systems, 2023
    PDF
  2. EMNLP
    Non-autoregressive streaming transformer for simultaneous translation
    Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, and Yang Feng
    In Empirical Methods in Natural Language Processing, 2023
    PDF
  3. NeurIPS
    Beyond MLE: Convex learning for text generation
    Chenze Shao, Zhengrui Ma, Min Zhang, and Yang Feng
    In Neural Information Processing Systems, 2023
    PDF
  4. AAAI
    Rephrasing the reference for non-autoregressive machine translation
    Chenze Shao, Jinchao Zhang, Jie Zhou, and Yang Feng
    In AAAI Conference on Artificial Intelligence, 2023
    PDF
  5. ICLR
    Fuzzy alignments in directed acyclic graph for non-autoregressive machine translation
    Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, and Yang Feng
    In International Conference on Learning Representations, 2023
    PDF

2022

  1. EMNLP Findings
    Viterbi decoding of directed acyclic transformer for non-autoregressive machine translation
    Chenze Shao, Zhengrui Ma, and Yang Feng
    In Findings of Empirical Methods in Natural Language Processing, 2022
    PDF
  2. NeurIPS
    Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
    Chenze Shao and Yang Feng
    In Neural Information Processing Systems, 2022
    PDF Code
  3. NAACL
    One reference is not enough: Diverse distillation with reference selection for non-autoregressive translation
    Chenze Shao, Xuanfu Wu, and Yang Feng
    In North American Chapter of the Association for Computational Linguistics, 2022
    PDF
  4. ACL
    Overcoming catastrophic forgetting beyond continual learning: Balanced training for neural machine translation
    Chenze Shao and Yang Feng
    In Association for Computational Linguistics, 2022
    PDF

2021

  1. CL
    Sequence-level Training for Non-autoregressive Neural Machine Translation
    Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, and Jie Zhou
    In Computational Linguistics, 2021
    PDF Code
  2. ACL
    Guiding teacher forcing with seer forcing for neural machine translation
    Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, and Chenze Shao
    In Association for Computational Linguistics, 2021
    PDF

2020

  1. EMNLP
    Generating diverse translation from model distribution with dropout
    Xuanfu Wu, Yang Feng, and Chenze Shao
    In Empirical Methods in Natural Language Processing, 2020
    PDF

2019

  1. AAAI
    Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
    Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, and Dong Yu
    In AAAI Conference on Artificial Intelligence, 2019
    PDF
  2. AAAI
    Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
    Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, and Jie Zhou
    In AAAI Conference on Artificial Intelligence, 2019
    PDF
  3. ACL
    Retrieving sequential information for non-autoregressive neural machine translation
    Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, and Jie Zhou
    In Association for Computational Linguistics, 2019
    PDF

2018

  1. EMNLP
    Greedy search with probabilistic n-gram matching for neural machine translation
    Chenze Shao, Yang Feng, and Xilin Chen
    In Empirical Methods in Natural Language Processing, 2018
    PDF