| 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 | 259 | 2023 |
| Norm-Based Curriculum Learning for Neural Machine Translation X Liu, H Lai, DF Wong, LS Chao ACL 2020, 2020 | 124 | 2020 |
| Understanding and Improving Lexical Choice in Non-Autoregressive Translation L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu ICLR 2021, 2021 | 119 | 2021 |
| 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 | 91 | 2024 |
| 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 | 64 | 2021 |
| Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation R Zhan*, X Liu*, DF Wong, LS Chao AAAI 2021, 2021 | 54 | 2021 |
| Progressive Multi-Granularity Training for Non-Autoregressive Translation L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu ACL 2021 Findings, 2021 | 52 | 2021 |
| 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 | 50 | 2023 |
| Shared-Private Bilingual Word Embeddings for Neural Machine Translation X Liu, DF Wong, Y Liu, LS Chao, T Xiao, J Zhu ACL 2019, 2019 | 48 | 2019 |
| 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 | 42 | 2021 |
| 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 | 38 | 2021 |
| 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 | 28 | 2022 |
| 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 | 28 | 2021 |
| 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 | 26 | 2023 |
| Revisiting Demonstration Selection Strategies in In-Context Learning K Peng, L Ding, Y Yuan, X Liu, M Zhang, Y Ouyang, D Tao ACL 2024, 2024 | 25 | 2024 |
| 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 | 24 | 2022 |
| DB-LLM: Accurate Dual-Binarization for Efficient LLMs H Chen, C Lv, L Ding, H Qin, X Zhou, Y Ding, X Liu, M Zhang, J Guo, X Liu, ... ACL 2024 Findings, 2024 | 19 | 2024 |
| Revisiting Grammatical Error Correction Evaluation and Beyond P Gong, X Liu, H Huang, M Zhang EMNLP 2022, 2022 | 19 | 2022 |
| 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 | 16 | 2023 |
| TransGEC: Improving Grammatical Error Correction with Translationese T Fang, X Liu, DF Wong, R Zhan, L Ding, LS Chao, D Tao, M Zhang ACL 2023 Findings, 2023 | 13 | 2023 |
Derek F. WongAssociate Professor, Department of Computer and Information Science, University of Macauum.edu.mo의 이메일 확인됨