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2024

  • OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
    Zhiyong Wu, Chengcheng Han, Zichen Ding, Zhenmin Weng, Zhoumianze Liu, Shunyu Yao, Tao Yu, Lingpeng Kong. arXiv preprint arXiv:2402.07456, 2024
    Paper Code

  • A Survey of Neural Code Intelligence: Paradigms, Advances, and Beyond
    Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, and others. arXiv preprint arXiv:2403.14734, 2024
    Paper Code

  • Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
    Che Zhang, Zhenyang Xiao, Chengcheng Han, Yixin Lian, Yuejian Fang. arXiv preprint arXiv:2402.13035, 2024
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2023

  • DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models
    Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao and Baoyuan Wang. EMNLP, 2023
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  • When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
    Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li and Ming Gao. The findings of ACL, 2023
    Paper

  • Meta-Learning Siamese Network for Few-Shot Text Classification
    Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao and Aoying Zhou. DASFAA, 2023
    Paper Code

  • Make Prompt-Based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
    Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao. arXiv preprint arXiv:2305.08088, 2023
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  • Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
    Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao and Wei Wu. Preprint
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2022

  • Programming Knowledge Tracing: A Comprehensive Dataset and A New Model
    Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian and Aoying Zhou ICDM Workshop, 2022
    Paper

  • Spanproto: A two-stage span-based prototypical network for few-shot named entity recognition
    Jianing Wang*, Chengcheng Han*, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang and Ming Gao EMNLP, 2022
    Paper Code

2021

  • Meta-learning adversarial domain adaptation network for few-shot text classification
    Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao and Aoying Zhou The findings of ACL, 2021
    Paper Code

2020

  • Approaches for semantic textual similarity
    Chengcheng Han, Lei Li, Tingting Liu and Ming Gao Journal of East China Normal University (Natural Science), 2020, 2020(5): 95
    Paper