| Codebert: A pre-trained model for programming and natural languages Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... arXiv preprint arXiv:2002.08155, 2020 | 700 | 2020 |
| Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training G Li, N Duan, Y Fang, M Gong, D Jiang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11336 …, 2020 | 558 | 2020 |
| Prophetnet: Predicting future n-gram for sequence-to-sequence pre-training W Qi, Y Yan, Y Gong, D Liu, N Duan, J Chen, R Zhang, M Zhou arXiv preprint arXiv:2001.04063, 2020 | 281 | 2020 |
| K-adapter: Infusing knowledge into pre-trained models with adapters R Wang, D Tang, N Duan, Z Wei, X Huang, G Cao, D Jiang, M Zhou arXiv preprint arXiv:2002.01808, 2020 | 256 | 2020 |
| Question generation for question answering N Duan, D Tang, P Chen, M Zhou Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 253 | 2017 |
| Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... arXiv preprint arXiv:2009.08366, 2020 | 232 | 2020 |
| Constraint-based question answering with knowledge graph J Bao, N Duan, Z Yan, M Zhou, T Zhao Proceedings of COLING 2016, the 26th international conference on …, 2016 | 213 | 2016 |
| Univl: A unified video and language pre-training model for multimodal understanding and generation H Luo, L Ji, B Shi, H Huang, N Duan, T Li, J Li, T Bharti, M Zhou arXiv preprint arXiv:2002.06353, 2020 | 205 | 2020 |
| Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 194 | 2021 |
| Pretraining-based natural language generation for text summarization H Zhang, J Xu, J Wang arXiv preprint arXiv:1902.09243, 2019 | 185 | 2019 |
| CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning H Luo, L Ji, M Zhong, Y Chen, W Lei, N Duan, T Li Neurocomputing 508, 293-304, 2022 | 183 | 2022 |
| Building task-oriented dialogue systems for online shopping Z Yan, N Duan, P Chen, M Zhou, J Zhou, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 177 | 2017 |
| Question answering and question generation as dual tasks D Tang, N Duan, T Qin, Z Yan, M Zhou arXiv preprint arXiv:1706.02027, 2017 | 170 | 2017 |
| Imagebert: Cross-modal pre-training with large-scale weak-supervised image-text data D Qi, L Su, J Song, E Cui, T Bharti, A Sacheti arXiv preprint arXiv:2001.07966, 2020 | 164 | 2020 |
| Knowledge-based question answering as machine translation J Bao, N Duan, M Zhou, T Zhao Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 162 | 2014 |
| Unicoder: A universal language encoder by pre-training with multiple cross-lingual tasks H Huang, Y Liang, N Duan, M Gong, L Shou, D Jiang, M Zhou arXiv preprint arXiv:1909.00964, 2019 | 155 | 2019 |
| Visual question generation as dual task of visual question answering Y Li, N Duan, B Zhou, X Chu, W Ouyang, X Wang, M Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 140 | 2018 |
| Docchat: An information retrieval approach for chatbot engines using unstructured documents Z Yan, N Duan, J Bao, P Chen, M Zhou, Z Li, J Zhou Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 140 | 2016 |
| Graph-based reasoning over heterogeneous external knowledge for commonsense question answering S Lv, D Guo, J Xu, D Tang, N Duan, M Gong, L Shou, D Jiang, G Cao, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 8449-8456, 2020 | 135 | 2020 |
| Joint relational embeddings for knowledge-based question answering MC Yang, N Duan, M Zhou, HC Rim Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 112 | 2014 |
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)在 chuangxin.com 的电子邮件经过验证
