Kun-Peng Ning (Kid)   宁鲲鹏PhD student
Peking University (PKU), |
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Peer-review-in-LLMs: Automatic Evaluation Method for LLMs in Open-environment. Kun-Peng Ning, Shuo Yang, Yu-Yang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yu Wang, Ming Pang, Li Yuan†. arXiv preprint arXiv: 2402.01830, 2024. |
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples. Jia-Yu Yao*, Kun-Peng Ning*, Zhen-Hui Liu*, Mu-Nan Ning, Li Yuan†. arXiv preprint arXiv: 2310.01469, 2023. |
Reinforcement Learning with Supervision from Noisy Demonstrations. Kun-Peng Ning, Sheng-Jun Huang†. arXiv preprint arXiv: 2006.07808, 2020. [PDF] |
Co-Imitation Learning without Expert Demonstration. Kun-Peng Ning, Hu Xu, Kun Zhu, Sheng-Jun Huang†. ( ICLR Workshop ), 2023. [PDF] |
Active Learning for Open-set Annotation. Kun-Peng Ning, Xun Zhao†, Yu Li, Sheng-Jun Huang†. IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022. |
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang†. The 35th Association for the Advancement of Artifificial Intelligence ( AAAI ), 2021. [PDF] |
Asynchronous Active Learning with Distributed Label Querying. Sheng-Jun Huang†, Chen-Chen Zong, Kun-Peng Ning, Hai-Bo Ye. The 30th International Joint Conference on Artificial Intelligence ( IJCAI ), 2021. [PDF] |
Tackle balancing constraint for incremental semi-supervised support vector learning. Shuyang Yu, Bin Gu†, Kun-Peng Ning, Haiyan Chen, Jian Pei, and Heng Huang. The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ( KDD ), 2019. [PDF] |