| A unified MRC framework for named entity recognition X Li, J Feng, Y Meng, Q Han, F Wu, J Li arXiv preprint arXiv:1910.11476, 2019 | 654 | 2019 |
| Dice loss for data-imbalanced NLP tasks X Li, X Sun, Y Meng, J Liang, F Wu, J Li arXiv preprint arXiv:1911.02855, 2019 | 528 | 2019 |
| Glyce: Glyph-vectors for chinese character representations Y Meng, W Wu, F Wang, X Li, P Nie, F Yin, M Li, Q Han, X Sun, J Li Advances in Neural Information Processing Systems 32, 2019 | 214 | 2019 |
| Bertgcn: Transductive text classification by combining gcn and bert Y Lin, Y Meng, X Sun, Q Han, K Kuang, J Li, F Wu arXiv preprint arXiv:2105.05727, 2021 | 205 | 2021 |
| Chinesebert: Chinese pretraining enhanced by glyph and pinyin information Z Sun, X Li, X Sun, Y Meng, X Ao, Q He, F Wu, J Li arXiv preprint arXiv:2106.16038, 2021 | 157 | 2021 |
| Is word segmentation necessary for deep learning of Chinese representations? X Li, Y Meng, X Sun, Q Han, A Yuan, J Li arXiv preprint arXiv:1905.05526, 2019 | 151 | 2019 |
| Badpre: Task-agnostic backdoor attacks to pre-trained nlp foundation models K Chen, Y Meng, X Sun, S Guo, T Zhang, J Li, C Fan arXiv preprint arXiv:2110.02467, 2021 | 82 | 2021 |
| Fast nearest neighbor machine translation Y Meng, X Li, X Zheng, F Wu, X Sun, T Zhang, J Li arXiv preprint arXiv:2105.14528, 2021 | 58 | 2021 |
| Triggerless backdoor attack for NLP tasks with clean labels L Gan, J Li, T Zhang, X Li, Y Meng, F Wu, Y Yang, S Guo, C Fan arXiv preprint arXiv:2111.07970, 2021 | 57 | 2021 |
| Interpreting deep learning models in natural language processing: A review X Sun, D Yang, X Li, T Zhang, Y Meng, H Qiu, G Wang, E Hovy, J Li arXiv preprint arXiv:2110.10470, 2021 | 50 | 2021 |
| Self-explaining structures improve nlp models Z Sun, C Fan, Q Han, X Sun, Y Meng, F Wu, J Li arXiv preprint arXiv:2012.01786, 2020 | 44 | 2020 |
| Defending against backdoor attacks in natural language generation X Sun, X Li, Y Meng, X Ao, L Lyu, J Li, T Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 5257-5265, 2023 | 33 | 2023 |
| Gnn-lm: Language modeling based on global contexts via gnn Y Meng, S Zong, X Li, X Sun, T Zhang, F Wu, J Li arXiv preprint arXiv:2110.08743, 2021 | 32 | 2021 |
| Sentence similarity based on contexts X Sun, Y Meng, X Ao, F Wu, T Zhang, J Li, C Fan Transactions of the Association for Computational Linguistics 10, 573-588, 2022 | 25 | 2022 |
| Openvidial: A large-scale, open-domain dialogue dataset with visual contexts Y Meng, S Wang, Q Han, X Sun, F Wu, R Yan, J Li arXiv preprint arXiv:2012.15015, 2020 | 25 | 2020 |
| Sac: Accelerating and structuring self-attention via sparse adaptive connection X Li, Y Meng, M Zhou, Q Han, F Wu, J Li Advances in Neural Information Processing Systems 33, 16997-17008, 2020 | 25 | 2020 |
| NN-NER: Named Entity Recognition with Nearest Neighbor Search S Wang, X Li, Y Meng, T Zhang, R Ouyang, J Li, G Wang arXiv preprint arXiv:2203.17103, 2022 | 24 | 2022 |
| ConRPG: Paraphrase generation using contexts as regularizer Y Meng, X Ao, Q He, X Sun, Q Han, F Wu, J Li arXiv preprint arXiv:2109.00363, 2021 | 24 | 2021 |
| Dependency parsing as mrc-based span-span prediction L Gan, Y Meng, K Kuang, X Sun, C Fan, F Wu, J Li arXiv preprint arXiv:2105.07654, 2021 | 20 | 2021 |
| Neural semi-supervised learning for text classification under large-scale pretraining Z Sun, C Fan, X Sun, Y Meng, F Wu, J Li arXiv preprint arXiv:2011.08626, 2020 | 20 | 2020 |
Jiwei LiShannon.AI, Zhejiang University, Stanford University在 stanford.edu 的电子邮件经过验证
