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Kun-Peng Ning
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2020 – today
- 2024
- [c5]Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao, Li Yuan:
Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search. CIKM 2024: 4786-4794 - [c4]Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang:
Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation. ECCV (28) 2024: 127-143 - [i9]Kun-Peng Ning, Shuo Yang, Yu-Yang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yu Wang, Ming Pang, Li Yuan:
Peer-review-in-LLMs: Automatic Evaluation Method for LLMs in Open-environment. CoRR abs/2402.01830 (2024) - [i8]Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang:
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation. CoRR abs/2402.15198 (2024) - [i7]Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Yi-Bing Song, Li Yuan:
Is Parameter Collision Hindering Continual Learning in LLMs? CoRR abs/2410.10179 (2024) - 2023
- [i6]Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao:
Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search. CoRR abs/2308.01098 (2023) - [i5]Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Munan Ning, Li Yuan:
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples. CoRR abs/2310.01469 (2023) - 2022
- [c3]Kun-Peng Ning, Xun Zhao, Yu Li
, Sheng-Jun Huang:
Active Learning for Open-set Annotation. CVPR 2022: 41-49 - [i4]Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang:
Active Learning for Open-set Annotation. CoRR abs/2201.06758 (2022) - 2021
- [c2]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI 2021: 9161-9169 - [c1]Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye:
Asynchronous Active Learning with Distributed Label Querying. IJCAI 2021: 2570-2576 - [i3]Kun-Peng Ning, Hu Xu, Kun Zhu, Sheng-Jun Huang:
Co-Imitation Learning without Expert Demonstration. CoRR abs/2103.14823 (2021) - [i2]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR abs/2103.14824 (2021) - 2020
- [i1]Kun-Peng Ning, Sheng-Jun Huang:
Reinforcement Learning with Supervision from Noisy Demonstrations. CoRR abs/2006.07808 (2020)
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