Kun-Peng Ning

22 papers A* 5A 1B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin.
AAAI
Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia, Kun-Peng Ning, Jia-Yu Yao, Jigang Wang, Hailiang Dai, Yibing Song, Li Yuan
2026 J jnl
Evidence Conflict Sampling for Open-set Active Learning.
Int. J. Comput. Vis.
Kun-Peng Ning, Hai-Jian Ke, Jia-Yu Yao, Yu-Yang Liu, Yong-Hong Tian, Li Yuan
2025 J jnl
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin.
CoRR
Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia, Kun-Peng Ning, Jia-Yu Yao, Jigang Wang, Hailiang Dai, Yibing Song, Li Yuan
2025 J jnl
GPT as a Monte Carlo Language Tree: A Probabilistic Perspective.
CoRR
Kun-Peng Ning, Jia-Yu Yao, Yu-Yang Liu, Munan Ning, Li Yuan
2025 B conf
Is Parameter Collision Hindering Continual Learning in LLMs?
COLING
Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yong-Hong Tian, Yi-Bing Song, Li Yuan
2025 A* conf
PiCO: Peer Review in LLMs based on Consistency Optimization.
ICLR
Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yonghong Tian, Yibing Song, Li Yuan
2025 J jnl
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.
CoRR
Yuwei Niu, Munan Ning, Mengren Zheng, Bin Lin, Peng Jin, Jiaqi Liao, Kun-Peng Ning, Bin Zhu, Li Yuan
2024 J jnl
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation.
CoRR
Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang
2024 — conf
Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation.
ECCV (28)
Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang
2024 J jnl
Is Parameter Collision Hindering Continual Learning in LLMs?
CoRR
Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Yi-Bing Song, Li Yuan
2024 J jnl
Peer-review-in-LLMs: Automatic Evaluation Method for LLMs in Open-environment.
CoRR
Kun-Peng Ning, Shuo Yang, Yu-Yang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yu Wang, Ming Pang, Li Yuan
2024 J jnl
Sparse Orthogonal Parameters Tuning for Continual Learning.
CoRR
Kun-Peng Ning, Hai-Jian Ke, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Li Yuan
2024 A conf
Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search.
CIKM
Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao, Li Yuan
2023 J jnl
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.
CoRR
Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Munan Ning, Li Yuan
2023 J jnl
Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search.
CoRR
Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao
2022 A* conf
Active Learning for Open-set Annotation.
CVPR
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang
2022 J jnl
Active Learning for Open-set Annotation.
CoRR
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang
2021 A* conf
Asynchronous Active Learning with Distributed Label Querying.
IJCAI
Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye
2021 J jnl
Co-Imitation Learning without Expert Demonstration.
CoRR
Kun-Peng Ning, Hu Xu, Kun Zhu, Sheng-Jun Huang
2021 A* conf
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
AAAI
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2021 J jnl
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
CoRR
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2020 J jnl
Reinforcement Learning with Supervision from Noisy Demonstrations.
CoRR
Kun-Peng Ning, Sheng-Jun Huang