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

2024

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

2023

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

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
  2. NeurIPS
    Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
    Chenze Shao and Yang Feng
    In Neural Information Processing Systems, 2022
  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
  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

2021

  1. CL
    Sequence-level Training for Non-autoregressive Neural Machine Translation
    Chnze Shao, Yang Feng, Jinchao Zhang, and 2 more authors
    In Computational Linguistics, 2021
  2. ACL
    Guiding teacher forcing with seer forcing for neural machine translation
    Yang Feng, Shuhao Gu, Dengji Guo, and 2 more authors
    In Association for Computational Linguistics, 2021

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

2019

  1. AAAI
    Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
    Yang Feng, Wanying Xie, Shuhao Gu, and 4 more authors
    In AAAI Conference on Artificial Intelligence, 2019
  2. AAAI
    Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
    Chenze Shao, Jinchao Zhang, Yang Feng, and 2 more authors
    In AAAI Conference on Artificial Intelligence, 2019
  3. ACL
    Retrieving sequential information for non-autoregressive neural machine translation
    Chenze Shao, Yang Feng, Jinchao Zhang, and 3 more authors
    In Association for Computational Linguistics, 2019

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