| 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 | 67* | 2023 |
| 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 | 57 | 2020 |
| 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 | 53 | 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 | 40* | 2024 |
| 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 | 27 | 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 | 25 | 2022 |
| 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 | 21 | 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 | 19 | 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 | 16 | 2020 |
| 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 | 15 | 2022 |
| Adversarial preference optimization: Enhancing your alignment via rm-llm game P Cheng, Y Yang, J Li, Y Dai, T Hu, P Cao, N Du, X Li Findings of the Association for Computational Linguistics ACL 2024, 3705-3716, 2024 | 14* | 2024 |
| Everyone deserves a reward: Learning customized human preferences P Cheng, J Xie, K Bai, Y Dai, N Du arXiv preprint arXiv:2309.03126, 2023 | 14 | 2023 |
| 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 | 13 | 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 | 13 | 2021 |
| 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 | 11 | 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 | 10 | 2022 |
| 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 | 9 | 2021 |
| On Diversified Preferences of Large Language Model Alignment D Zeng, Y Dai, P Cheng, L Wang, T Hu, W Chen, N Du, Z Xu EMNLP 2024 Findings, 2023 | 7* | 2023 |
| Self-playing Adversarial Language Game Enhances LLM Reasoning P Cheng, T Hu, H Xu, Z Zhang, Y Dai, L Han, N Du NeurIPS 2024, arXiv preprint arXiv:2404.10642, 2024 | 6 | 2024 |
| 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 | 6 | 2019 |
Zenglin XuFudan UniversityVerified email at fudan.edu.cn
