Yong Dai
Yong Dai
Tencent AI Lab
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Zitiert von
Zitiert von
Adversarial training based multi-source unsupervised domain adaptation for sentiment analysis
Y Dai, J Liu, X Ren, Z Xu
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7618-7625, 2020
Fedpetuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models
Z Zhang, Y Yang, Y Dai, Q Wang, Y Yu, L Qu, Z Xu
Annual Meeting of the Association of Computational Linguistics 2023, 9963-9977, 2023
Graph fusion network for text classification
Y Dai, L Shou, M Gong, X Xia, Z Kang, Z Xu, D Jiang
Knowledge-based systems 236, 107659, 2022
Dynamic mixture of counter network for location-agnostic crowd counting
M Wang, H Cai, Y Dai, M Gong
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023
One model, multiple modalities: A sparsely activated approach for text, sound, image, video and code
Y Dai, D Tang, L Liu, M Tan, C Zhou, J Wang, Z Feng, F Zhang, X Hu, ...
arXiv preprint arXiv:2205.06126, 2022
Webvoyager: Building an end-to-end web agent with large multimodal models
H He, W Yao, K Ma, W Yu, Y Dai, H Zhang
ACL 2024, arXiv preprint arXiv:2401.13919, 2024
Remote sensing images super-resolution based on sparse dictionaries and residual dictionaries
Y Zhang, W Wu, Y Dai, X Yang, B Yan, W Lu
2013 IEEE 11th International Conference on Dependable, Autonomic and Secure …, 2013
" Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction
Y Dai*, L Li*, C Zhou*, Z Feng, E Zhao, X Qiu, P Li, D Tang
ACL 2022 Findings, arXiv preprint arXiv:2203.00286, 2022
Contextualize knowledge bases with transformer for end-to-end task-oriented dialogue systems
Y Gou, Y Lei, L Liu, Y Dai, C Shen
EMNLP 2021, 2020
Effidit: Your ai writing assistant
S Shi, E Zhao, D Tang, Y Wang, P Li, W Bi, H Jiang, G Huang, L Cui, ...
arXiv preprint arXiv:2208.01815, 2022
Adversarial preference optimization
P Cheng, Y Yang, J Li, Y Dai, N Du
ACL 2024 Findings, arXiv preprint arXiv:2311.08045, 2023
MarkBERT: marking word boundaries improves Chinese BERT
L Li, Y Dai, D Tang, X Qiu, Z Xu, S Shi
NLPCC 2023, arXiv preprint arXiv:2203.06378, 2022
Everyone deserves a reward: Learning customized human preferences
P Cheng, J Xie, K Bai, Y Dai, N Du
arXiv preprint arXiv:2309.03126, 2023
SkillNet-NLU: A sparsely activated model for general-purpose natural language understanding
F Zhang, D Tang, Y Dai, C Zhou, S Wu, S Shi
arXiv preprint arXiv:2203.03312, 2022
Exploring and Adapting Chinese GPT to Pinyin Input Method
M Tan*, Y Dai*, D Tang, Z Feng, G Huang, J Jiang, J Li, S Shi
ACL 2022, arXiv preprint arXiv:2203.00249, 2022
Unsupervised sentiment analysis by transferring multi-source knowledge
Y Dai, J Liu, J Zhang, H Fu, Z Xu
Cognitive Computation 13, 1185-1197, 2021
Creating and evaluating resources for sentiment analysis in the low-resource language: Sindhi
W Ali, N Ali, Y Dai, J Kumar, S Tumrani, Z Xu
Proceedings of the Eleventh Workshop on Computational Approaches to …, 2021
A two-stage multi-task learning-based method for selective unsupervised domain adaptation
Y Dai, J Zhang, S Yuan, Z Xu
2019 International Conference on Data Mining Workshops (ICDMW), 863-868, 2019
On Diversified Preferences of Large Language Model Alignment
D Zeng, Y Dai, P Cheng, L Wang, T Hu, W Chen, N Du, Z Xu
CoRR abs/2312.07401, 2023
On Diverse Preferences for Large Language Model Alignment
D Zeng, Y Dai, P Cheng, T Hu, W Chen, N Du, Z Xu
arXiv preprint arXiv:2312.07401, 2023
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