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Xuebo Liu
Xuebo Liu
Assistant Professor of Computer Science, Harbin Institute of Technology (Shenzhen)
Verified email at hit.edu.cn - Homepage
Title
Cited by
Cited by
Year
Towards Making The Most of ChatGPT for Machine Translation
K Peng, L Ding, Q Zhong, L Shen, X Liu, M Zhang, Y Ouyang, D Tao
EMNLP 2023 Findings, 2023
1462023
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu
ICLR 2021, 2021
1102021
Norm-Based Curriculum Learning for Neural Machine Translation
X Liu, H Lai, DF Wong, LS Chao
ACL 2020, 2020
1012020
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu
ACL 2021, 2021
612021
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
X Liu, DF Wong, Y Liu, LS Chao, T Xiao, J Zhu
ACL 2019, 2019
472019
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
R Zhan*, X Liu*, DF Wong, LS Chao
AAAI 2021, 2021
462021
Progressive Multi-Granularity Training for Non-Autoregressive Translation
L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu
ACL 2021 Findings, 2021
412021
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
X Liu, L Wang, DF Wong, L Ding, LS Chao, Z Tu
ICLR 2021, 2021
352021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
X Liu, L Wang, DF Wong, L Ding, LS Chao, S Shi, Z Tu
EMNLP 2021 Findings, 2021
312021
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Y Liu, X Cun, X Liu, X Wang, Y Zhang, H Chen, Y Liu, T Zeng, R Chan, ...
CVPR 2024, 2024
262024
On the Copying Behaviors of Pre-Training for Neural Machine Translation
X Liu, L Wang, DF Wong, L Ding, LS Chao, S Shi, Z Tu
ACL 2021 Findings, 2021
232021
Parameter-Efficient and Student-Friendly Knowledge Distillation
J Rao, X Meng, L Ding, S Qi, X Liu, M Zhang, D Tao
IEEE Transactions on Multimedia, 2023
172023
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Z Li, X Liu, DF Wong, LS Chao, M Zhang
EMNLP 2022, 2022
152022
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation
B Li, Q Du, T Zhou, Y Jing, S Zhou, X Zeng, T Xiao, JB Zhu, X Liu, ...
ACL 2022, 2022
142022
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
Q Zhong, L Ding, J Liu, X Liu, M Zhang, B Du, D Tao
ACL 2023, 2023
122023
Latent Attribute Based Hierarchical Decoder for Neural Machine Translation
X Liu, DF Wong, LS Chao, Y Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
112019
Revisiting Grammatical Error Correction Evaluation and Beyond
P Gong, X Liu, H Huang, M Zhang
EMNLP 2022, 2022
102022
Bliss: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation
Z Zhang, L Ding, D Cheng, X Liu, M Zhang, D Tao
arXiv preprint arXiv:2204.07837, 2022
102022
TemplateGEC: Improving Grammatical Error Correction with Detection Template
Y Li, X Liu, S Wang, P Gong, DF Wong, Y Gao, HY Huang, M Zhang
ACL 2023, 2023
92023
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
Z Wang*, X Liu*, M Zhang
EMNLP 2022, 2022
82022
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