Követés
Liang Ding
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
3372022
Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert
Q Zhong, L Ding, J Liu, B Du, D Tao
arXiv preprint 2023, 2023
329*2023
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
2752023
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
Q Lu, B Qiu, L Ding, K Zhang, T Kocmi, D Tao
ACL 2024 Findings & arXiv preprint 2023, 2023
154*2023
Understanding and improving lexical choice in non-autoregressive translation
L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu
ICLR 2021, 2021
1192021
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
1172023
SlotRefine: A fast non-autoregressive model for joint intent detection and slot filling
D Wu, L Ding, F Lu, J Xie
EMNLP 2020, 2020
1012020
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
842022
Sparseadapter: An easy approach for improving the parameter-efficiency of adapters
S He, L Ding✉️, DZ Dong, M Zhang, D Tao
EMNLP 2022 Findings, 2022
802022
Self-attention with cross-lingual position representation
L Ding, L Wang, D Tao
ACL 2020, 2020
742020
Context-aware cross-attention for non-autoregressive translation
L Ding, L Wang, D Wu, D Tao, Z Tu
COLING 2020, 2020
702020
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
642021
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
602022
Improving Neural Machine Translation by Bidirectional Training
L Ding, D Wu, D Tao
EMNLP 2021, 2021
602021
Deep Model Fusion: A Survey
W Li, Y Peng, M Zhang, L Ding, H Hu, L Shen
arXiv preprint 2023, 2023
572023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Y Sun, L Shen, T Huang, L Ding, D Tao
ICLR 2023, 2023
562023
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
56*2022
Gapformer: Graph Transformer with Graph Pooling for Node Classification
C Liu, Y Zhan, X Ma, L Ding, D Tao, J Wu, W Hu
IJCAI 2023, 2023
55*2023
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 Findings, 2022
542022
Progressive Multi-Granularity Training for Non-Autoregressive Translation
L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu
ACL 2021 Findings, 2021
522021
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Cikkek 1–20