Pandagpt: One model to instruction-follow them all Y Su, T Lan, H Li, J Xu, Y Wang, D Cai
arXiv preprint arXiv:2305.16355, 2023
243 2023 A Survey on Retrieval-Augmented Text Generation H Li, Y Su, D Cai, Y Wang, L Liu
arXiv preprint arXiv:2202.01110, 2022
178 * 2022 Neural Machine Translation with Monolingual Translation Memory D Cai, Y Wang, H Li, W Lam, L Liu
ACL (Outstanding Paper Award), 2021
101 2021 Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach Y Liu, M De Nadai, D Cai, H Li, X Alameda-Pineda, N Sebe, B Lepri
ACMM, 1357-1365, 2020
70 2020 Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation J Xu, X Liu, J Yan, D Cai, H Li, J Li
NeurIPS, 2022
51 2022 Evaluating Explanation Methods for Neural Machine Translation J Li, L Liu, H Li, G Li, G Huang, S Shi
ACL, 2020
31 2020 TranSmart: A Practical Interactive Machine Translation System G Huang, L Liu, X Wang, L Wang, H Li, Z Tu, C Huang, S Shi
arXiv preprint arXiv:2105.13072, 2021
28 2021 Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation T Zhao, L Liu, G Huang, H Li, Y Liu, L GuiQuan, S Shi
AAAI 34 (05), 9660-9667, 2020
23 2020 Assessing Dialogue Systems with Distribution Distances J Xiang, Y Liu, D Cai, H Li, D Lian, L Liu
Findings of ACL, 2021
22 2021 GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation H Li, L Liu, G Huang, S Shi
ACL, 2021
21 2021 Neural Machine Translation With Noisy Lexical Constraints H Li, G Huang, D Cai, L Liu
TASLP 28, 1864-1874, 2020
16 2020 TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild H Li, S Li, D Cai, L Wang, L Liu, T Watanabe, Y Yang, S Shi
Findings of ACL, 2023
14 * 2023 Ngram Is Back: Residual Learning of Neural Text Generation with H Li, D Cai, J Xu, T Watanabe
Findings of EMNLP, 2022
11 2022 Data Augmentation for Text Generation Without Any Augmented Data W Bi, H Li, J Huang
ACL, 2021
7 2021 Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective H Li, T Lan, Z Fu, D Cai, L Liu, N Collier, T Watanabe, Y Su
NeurIPS, 2023
6 2023 On the Branching Bias of Syntax Extracted from Pre-trained Language Models H Li, L Liu, G Huang, S Shi
Findings of EMNLP, 4473–4478, 2020
6 2020 A Frustratingly Simple Decoding Method for Neural Text Generation H Yang, D Cai, H Li, W Bi, W Lam, S Shi
LREC-COLING, 2023
5 2023 Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics J Xiang, H Li, Y Liu, L Liu, G Huang, D Lian, S Shi
Findings of ACL, 2022
4 2022 On the Transformations across Reward Model, Parameter Update, and In-Context Prompt D Cai, H Li, T Fu, S Li, W Xu, S Li, B Cao, Z Zhang, X Huang, L Cui, ...
arXiv preprint arXiv:2406.16377, 2024
2 2024 Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models S Shi, E Zhao, D Cai, L Cui, X Huang, H Li
arXiv preprint arXiv:2401.08294, 2024
2 2024 
Deng CAI-, Tencent AI Lab, The Chinese University of Hong KongПотвърден имейл адрес: se.cuhk.edu.hk
