| Pre-training With Whole Word Masking for Chinese BERT Y Cui, W Che, T Liu, B Qin, Z Yang IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) 29 …, 2021 | 1341 | 2021 |
| Revisiting Pre-Trained Models for Chinese Natural Language Processing Y Cui, W Che, T Liu, B Qin, S Wang, G Hu Findings of EMNLP 2020, 657–668, 2020 | 713 | 2020 |
| Attention-over-Attention Neural Networks for Reading Comprehension Y Cui, Z Chen, S Wei, S Wang, T Liu, G Hu ACL 2017, 593–602, 2017 | 529 | 2017 |
| CLUE: A Chinese Language Understanding Evaluation Benchmark L Xu, X Zhang, L Li, H Hu, C Cao, W Liu, J Li, Y Li, K Sun, Y Xu, Y Cui, ... COLING 2020, 4762–4772, 2020 | 317 | 2020 |
| A Span-Extraction Dataset for Chinese Machine Reading Comprehension Y Cui, T Liu, L Xiao, Z Chen, W Ma, W Che, S Wang, G Hu EMNLP-IJCNLP 2019, 593–602, 2018 | 204 | 2018 |
| Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting S Chen, Y Hou, Y Cui, W Che, T Liu, X Yu EMNLP 2020, 7870-–7881, 2020 | 168 | 2020 |
| Efficient and effective text encoding for chinese llama and alpaca Y Cui, Z Yang, X Yao arXiv preprint arXiv:2304.08177, 2023 | 159 | 2023 |
| Exploiting Persona Information for Diverse Generation of Conversational Responses H Song, WN Zhang, Y Cui, D Wang, T Liu IJCAI-19, 5190–5196, 2019 | 131 | 2019 |
| Consensus Attention-based Neural Networks for Chinese Reading Comprehension Y Cui, T Liu, Z Chen, S Wang, G Hu COLING 2016, 1777–1786, 2016 | 110 | 2016 |
| CharBERT: Character-aware Pre-trained Language Model W Ma, Y Cui, C Si, T Liu, S Wang, G Hu COLING 2020, 39–50, 2020 | 92 | 2020 |
| CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension X Duan, B Wang, Z Wang, W Ma, Y Cui, D Wu, S Wang, T Liu, T Huo, Z Hu, ... CCL 2019, 439–451, 2019 | 74 | 2019 |
| Is Graph Structure Necessary for Multi-hop Question Answering? N Shao, Y Cui, T Liu, S Wang, G Hu EMNLP 2020, 7187-7192, 2020 | 64 | 2020 |
| Cross-Lingual Machine Reading Comprehension Y Cui, W Che, T Liu, B Qin, S Wang, G Hu EMNLP-IJCNLP 2019, 1586–1595, 2019 | 59 | 2019 |
| Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution T Liu, Y Cui, Q Yin, S Wang, W Zhang, G Hu ACL 2017, 102–111, 2017 | 57 | 2017 |
| Context-Sensitive Generation of Open-Domain Conversational Responses W Zhang, Y Cui, Y Wang, Q Zhu, L Li, L Zhou, T Liu COLING 2018, 2437–2447, 2018 | 53 | 2018 |
| LSTM Neural Reordering Feature for Statistical Machine Translation Y Cui, S Wang, J Li NAACL 2016, 977–982, 2016 | 48 | 2016 |
| PERT: pre-training BERT with permuted language model Y Cui, Z Yang, T Liu arXiv preprint arXiv:2203.06906, 2022 | 44 | 2022 |
| TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing Z Yang, Y Cui, Z Chen, W Che, T Liu, S Wang, G Hu ACL 2020: System Demonstrations, 9–16, 2020 | 40 | 2020 |
| Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions Z Chen, Y Cui, W Ma, S Wang, G Hu AAAI-19, 6276–6283, 2018 | 36 | 2018 |
| CINO: A Chinese Minority Pre-trained Language Model Z Yang, Z Xu, Y Cui, B Wang, M Lin, D Wu, Z Chen COLING 2022, 3937–3949, 2022 | 30 | 2022 |
Wanxiang CheProfessor of Harbin Institute of Technology在 ir.hit.edu.cn 的电子邮件经过验证
