| On the variance of the adaptive learning rate and beyond L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han arXiv preprint arXiv:1908.03265, 2019 | 1566 | 2019 |
| Multi-task deep neural networks for natural language understanding X Liu, P He, W Chen, J Gao arXiv preprint arXiv:1901.11504, 2019 | 1108 | 2019 |
| Deberta: Decoding-enhanced bert with disentangled attention P He, X Liu, J Gao, W Chen arXiv preprint arXiv:2006.03654, 2020 | 975 | 2020 |
| Lora: Low-rank adaptation of large language models EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2021 | 383 | 2021 |
| Reasonet: Learning to stop reading in machine comprehension Y Shen, PS Huang, J Gao, W Chen Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 317 | 2017 |
| Smart: Robust and efficient fine-tuning for pre-trained natural language models through principled regularized optimization H Jiang, P He, W Chen, X Liu, J Gao, T Zhao arXiv preprint arXiv:1911.03437, 2019 | 291 | 2019 |
| Short text conceptualization using a probabilistic knowledgebase Y Song, H Wang, Z Wang, H Li, W Chen Proceedings of the twenty-second international joint conference on …, 2011 | 276 | 2011 |
| What Makes Good In-Context Examples for GPT-? J Liu, D Shen, Y Zhang, B Dolan, L Carin, W Chen arXiv preprint arXiv:2101.06804, 2021 | 265 | 2021 |
| Fusionnet: Fusing via fully-aware attention with application to machine comprehension HY Huang, C Zhu, Y Shen, W Chen arXiv preprint arXiv:1711.07341, 2017 | 195 | 2017 |
| Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing P He, J Gao, W Chen arXiv preprint arXiv:2111.09543, 2021 | 167 | 2021 |
| Document transformation for multi-label feature selection in text categorization W Chen, J Yan, B Zhang, Z Chen, Q Yang Seventh IEEE International Conference on Data Mining (ICDM 2007), 451-456, 2007 | 161 | 2007 |
| Understanding the difficulty of training transformers L Liu, X Liu, J Gao, W Chen, J Han arXiv preprint arXiv:2004.08249, 2020 | 157 | 2020 |
| Improving multi-task deep neural networks via knowledge distillation for natural language understanding X Liu, P He, W Chen, J Gao arXiv preprint arXiv:1904.09482, 2019 | 143 | 2019 |
| User-click modeling for understanding and predicting search-behavior Y Zhang, W Chen, D Wang, Q Yang Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 125 | 2011 |
| A novel click model and its applications to online advertising ZA Zhu, W Chen, T Minka, C Zhu, Z Chen Proceedings of the third ACM international conference on Web search and data …, 2010 | 125 | 2010 |
| Adversarial training for large neural language models X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao arXiv preprint arXiv:2004.08994, 2020 | 102 | 2020 |
| P-packSVM: Parallel primal gradient descent kernel SVM AZ Zeyuan, C Weizhu, W Gang, Z Chenguang, C Zheng 2009 Ninth IEEE International Conference on Data Mining, 677-686, 2009 | 96 | 2009 |
| Generation-augmented retrieval for open-domain question answering Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen arXiv preprint arXiv:2009.08553, 2020 | 95 | 2020 |
| X-SQL: reinforce schema representation with context P He, Y Mao, K Chakrabarti, W Chen arXiv preprint arXiv:1908.08113, 2019 | 88* | 2019 |
| Personalized click model through collaborative filtering S Shen, B Hu, W Chen, Q Yang Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 88 | 2012 |
