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Yong Lin
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Active Prompting with Chain-of-Thought for Large Language Models


Feb 26, 2023
Shizhe Diao, Pengcheng Wang, Yong Lin, Tong Zhang

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* 20 pages, 3 figures, 11 tables 
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Probabilistic Bilevel Coreset Selection


Jan 24, 2023
Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Tong Zhang

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Model Agnostic Sample Reweighting for Out-of-Distribution Learning


Jan 24, 2023
Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang

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Stable Learning via Sparse Variable Independence


Dec 02, 2022
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang

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* Accepted by AAAI 2023 
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Particle-based Variational Inference with Preconditioned Functional Gradient Flow


Nov 25, 2022
Hanze Dong, Xi Wang, Yong Lin, Tong Zhang

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* 34 pages, 8 figures 
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ZeroGen$^+$: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning


May 25, 2022
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

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* 9 pages 
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ZIN: When and How to Learn Invariance by Environment Inference?


Mar 11, 2022
Yong Lin, Shengyu Zhu, Peng Cui

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Black-box Prompt Learning for Pre-trained Language Models


Jan 21, 2022
Shizhe Diao, Xuechun Li, Yong Lin, Zhichao Huang, Tong Zhang

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* 10 pages, 5 figures 
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