| Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification S Hu, N Ding, H Wang, Z Liu, J Wang, J Li, W Wu, M Sun arXiv preprint arXiv:2108.02035, 2021 | 395 | 2021 |
| ASAP: A Chinese review dataset towards aspect category sentiment analysis and rating prediction J Bu, L Ren, S Zheng, Y Yang, J Wang, F Zhang, W Wu arXiv preprint arXiv:2103.06605, 2021 | 77 | 2021 |
| Earlier attention? aspect-aware LSTM for aspect-based sentiment analysis B Xing, L Liao, D Song, J Wang, F Zhang, Z Wang, H Huang Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 67 | 2019 |
| Solve the puzzle of instance segmentation in videos: A weakly supervised framework with spatio-temporal collaboration L Yan, Q Wang, S Ma, J Wang, C Yu IEEE Transactions on Circuits and Systems for Video Technology 33 (1), 393-406, 2022 | 63 | 2022 |
| A multi-task learning approach for improving product title compression with user search log data J Wang, J Tian, L Qiu, S Li, J Lang, L Si, M Lan Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 49 | 2018 |
| Improving document representations by generating pseudo query embeddings for dense retrieval H Tang, X Sun, B Jin, J Wang, F Zhang, W Wu arXiv preprint arXiv:2105.03599, 2021 | 43 | 2021 |
| Xprompt: Exploring the extreme of prompt tuning F Ma, C Zhang, L Ren, J Wang, Q Wang, W Wu, X Quan, D Song arXiv preprint arXiv:2210.04457, 2022 | 35 | 2022 |
| RankCSE: Unsupervised sentence representations learning via learning to rank J Liu, J Liu, Q Wang, J Wang, W Wu, Y Xian, D Zhao, K Chen, R Yan arXiv preprint arXiv:2305.16726, 2023 | 34 | 2023 |
| Moderate-fitting as a natural backdoor defender for pre-trained language models B Zhu, Y Qin, G Cui, Y Chen, W Zhao, C Fu, Y Deng, Z Liu, J Wang, W Wu, ... Advances in Neural Information Processing Systems 35, 1086-1099, 2022 | 34 | 2022 |
| Towards the law of capacity gap in distilling language models C Zhang, D Song, Z Ye, Y Gao arXiv preprint arXiv:2311.07052, 2023 | 33 | 2023 |
| MixPAVE: Mix-prompt tuning for few-shot product attribute value extraction L Yang, Q Wang, J Wang, X Quan, F Feng, Y Chen, M Khabsa, S Wang, ... Findings of the association for computational linguistics: ACL 2023, 9978-9991, 2023 | 31 | 2023 |
| Alibaba’s neural machine translation systems for wmt18 Y Deng, S Cheng, J Lu, K Song, J Wang, S Wu, L Yao, G Zhang, H Zhang, ... Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 30 | 2018 |
| BIT and MSRA at TREC KBA CCR Track 2013. J Wang, D Song, L Liao, CY Lin TREC, 2013 | 29 | 2013 |
| A self-healing framework for qos-aware web service composition via case-based reasoning G Li, L Liao, D Song, J Wang, F Sun, G Liang Web Technologies and Applications: 15th Asia-Pacific Web Conference, APWeb …, 2013 | 24 | 2013 |
| VIRT: Improving representation-based text matching via virtual interaction D Li, Y Yang, H Tang, J Liu, Q Wang, J Wang, T Xu, W Wu, E Chen Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 20* | 2022 |
| MUSTIE: Multimodal structural transformer for web information extraction Q Wang, J Wang, X Quan, F Feng, Z Xu, S Nie, S Wang, M Khabsa, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 17 | 2023 |
| MCL-NER: cross-lingual named entity recognition via multi-view contrastive learning Y Mo, J Yang, J Liu, Q Wang, R Chen, J Wang, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18789 …, 2024 | 16 | 2024 |
| Watch the neighbors: A unified k-nearest neighbor contrastive learning framework for OOD intent discovery Y Mou, K He, P Wang, Y Wu, J Wang, W Wu, W Xu arXiv preprint arXiv:2210.08909, 2022 | 15 | 2022 |
| Structural bias for aspect sentiment triplet extraction C Zhang, L Ren, F Ma, J Wang, W Wu, D Song arXiv preprint arXiv:2209.00820, 2022 | 15 | 2022 |
| PSVM: a preference-enhanced SVM model using preference data for classification L Ma, D Song, L Liao, J Wang Science China Information Sciences 60, 1-14, 2017 | 15 | 2017 |
Wei Wu (武威)Researcher at Ant GroupZweryfikowany adres z antgroup.com