| Meta-learning adversarial domain adaptation network for few-shot text classification C Han, Z Fan, D Zhang, M Qiu, M Gao, A Zhou ACL 2021, 2021 | 70 | 2021 |
| Os-copilot: Towards generalist computer agents with self-improvement Z Wu, C Han, Z Ding, Z Weng, Z Liu, S Yao, T Yu, L Kong ICLR 2024, 2024 | 57 | 2024 |
| SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition J Wang, C Han, C Wang, C Tan, M Qiu, S Huang, J Huang, M Gao EMNLP 2022, 2022 | 35 | 2022 |
| A survey of neural code intelligence: Paradigms, advances and beyond Q Sun, Z Chen, F Xu, K Cheng, C Ma, Z Yin, J Wang, C Han, R Zhu, ... arXiv preprint arXiv:2403.14734, 2024 | 29* | 2024 |
| Programming knowledge tracing: A comprehensive dataset and a new model R Zhu, D Zhang, C Han, M Gao, X Lu, W Qian, A Zhou ICDM 2022, 2021 | 18 | 2021 |
| Approaches for semantic textual similarity H Chengcheng, LI Lei, LIU Tingting, GAO Ming Journal of East China Normal University (Natural Science) 2020 (5), 95, 2020 | 17 | 2020 |
| Meta-Learning Siamese Network for Few-Shot Text Classification C Han, Y Wang, Y Fu, X Li, M Qiu, M Gao, A Zhou DASFAA 2023, 2023 | 13 | 2023 |
| Meta-learning triplet network with adaptive margins for few-shot named entity recognition C Han, R Zhu, J Kuang, FJ Chen, X Li, M Gao, X Cao, W Wu arXiv preprint arXiv:2302.07739, 2023 | 12 | 2023 |
| 语义文本相似度计算方法 韩程程， 李磊， 刘婷婷， 高明 华东师范大学学报 (自然科学版) 5, 95-112, 2020 | 10 | 2020 |
| Make prompt-based black-box tuning colorful: Boosting model generalization from three orthogonal perspectives Q Sun, C Han, N Chen, R Zhu, J Gong, X Li, M Gao COLING 2024, 2023 | 8 | 2023 |
| When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario C Han, L Cui, R Zhu, J Wang, N Chen, Q Sun, X Li, M Gao ACL 2023, 2023 | 7 | 2023 |
| DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models C Han, X Du, C Zhang, Y Lian, X Li, M Gao, B Wang EMNLP 2023, 2023 | 6 | 2023 |
| Automated peer reviewing in paper sea: Standardization, evaluation, and analysis J Yu, Z Ding, J Tan, K Luo, Z Weng, C Gong, L Zeng, R Cui, C Han, Q Sun, ... arXiv preprint arXiv:2407.12857, 2024 | 4 | 2024 |
| Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models C Zhang, Z Xiao, C Han, Y Lian, Y Fang arXiv preprint arXiv:2402.13035, 2024 | 3 | 2024 |
| Length Desensitization in Directed Preference Optimization W Liu, Y Bai, C Han, R Weng, J Xu, X Cao, J Wang, X Cai arXiv preprint arXiv:2409.06411, 2024 | 1 | 2024 |
| Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition C Han, R Zhu, J Kuang, F Chen, X Li, M Gao, X Cao, Y Xian COLING 2024, 3707-3717, 2024 | | 2024 |
| Exchanging-based Multimodal Fusion with Transformer R Zhu, C Han, Y Qian, Q Sun, X Li, M Gao, X Cao, Y Xian arXiv preprint arXiv:2309.02190, 2023 | | 2023 |
Ming GaoSchool of Data Science and Engineering, East China Normal UniversityEmail verificata su dase.ecnu.edu.cn
