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Liang Ding
Liang Ding
Research Scientist, JD.com
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert
Q Zhong, L Ding, J Liu, B Du, D Tao
https://github.com/WHU-ZQH/ChatGPT-vs.-BERT, 2023
187*2023
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
L Zhang, L Shen, L Ding, D Tao, L Duan
CVPR 2022, 2022
1742022
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 & https://github.com/Romainpkq/ChatGPT4MT, 2023
1252023
Understanding and improving lexical choice in non-autoregressive translation
L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu
ICLR 2021, 2021
1062021
Error analysis prompting enables human-like translation evaluation in large language models: A case study on chatgpt
Q Lu, B Qiu, L Ding, L Xie, D Tao
https://github.com/Coldmist-Lu/ErrorAnalysis_Prompt, 2023
792023
SlotRefine: A fast non-autoregressive model for joint intent detection and slot filling
D Wu, L Ding, F Lu, J Xie
EMNLP 2020, 2020
722020
Self-attention with cross-lingual position representation
L Ding, L Wang, D Tao
ACL 2020, 2020
642020
Context-aware cross-attention for non-autoregressive translation
L Ding, L Wang, D Wu, D Tao, Z Tu
COLING 2020, 2020
632020
Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis
Q Zhong, L Ding, J Liu, B Du, H Jin, D Tao
IEEE Transactions on Knowledge and Data Engineering & arXiv preprint 2022, 2023
622023
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
592021
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation
L Ding, L Wang, S Shi, D Tao, Z Tu
ACL 2022, 2022
552022
Improving Neural Machine Translation by Bidirectional Training
L Ding, D Wu, D Tao
EMNLP 2021, 2021
51*2021
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
S He, L Ding✉, DZ Dong, M Zhang, D Tao
EMNLP 2022, 2022
462022
Vega-MT: The JD Explore Academy Translation System for WMT22
C Zan*, K Peng*, L Ding*✉, B Qiu, B Liu, S He, Q Lu, Z Zhang, C Liu, ...
WMT 2022 (𝐰𝐢𝐧𝐧𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦 𝐨𝐧 𝟕 𝐡𝐢𝐠𝐡-𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐭𝐚𝐬𝐤𝐬), 2022
45*2022
A contrastive cross-channel data augmentation framework for aspect-based sentiment analysis
B Wang, L Ding✉, Q Zhong, X Li, D Tao
COLING 2022, 2022
452022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
Q Zhong, L Ding, L Shen, P Mi, J Liu, B Du, D Tao
EMNLP 2022, 2022
402022
The University of Sydney's Machine Translation System for WMT19
L Ding, D Tao
WMT 2019 (𝐰𝐢𝐧𝐧𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦), 2019
382019
Self-guided curriculum learning for neural machine translation
L Zhou, L Ding, K Duh, S Watanabe, R Sasano, K Takeda
IWSLT 2021, 2021
352021
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
Progressive Multi-Granularity Training for Non-Autoregressive Translation
L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu
ACL 2021, 2021
332021
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Articles 1–20