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DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation Conference paper
Gu, Zihui, Sun, Xingwu, Lian, Fengzong, Kang, Zhanhui, Xu, Cheng Zhong, Fan, Ju. DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation[C], 2024, 18108-18116.
Authors:  Gu, Zihui;  Sun, Xingwu;  Lian, Fengzong;  Kang, Zhanhui;  Xu, Cheng Zhong; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/05/16
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning Conference paper
Chen, Zhongzhi, Sun, Xingwu, Jiao, Xianfeng, Lian, Fengzong, Kang, Zhanhui, Wang, Di, Xu, Cheng Zhong. Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning[C], 2024, 20967-20974.
Authors:  Chen, Zhongzhi;  Sun, Xingwu;  Jiao, Xianfeng;  Lian, Fengzong;  Kang, Zhanhui; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/05/16
General  
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders Conference paper
Sun, Xingwu, Yang, Zhen, Xie, Ruobing, Lian, Fengzong, Kang, Zhanhui, Xu, Chengzhong. LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders[C]:European Language Resources Association (ELRA), 2024, 10499-10510.
Authors:  Sun, Xingwu;  Yang, Zhen;  Xie, Ruobing;  Lian, Fengzong;  Kang, Zhanhui; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/07/04
Lightweight v&l Pre-training  Mask Autoencoder  Vision-language Pre-training  
GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation Conference paper
Hong, Tao, Wang, Ya, Sun, Xingwu, Lian, Fengzong, Kang, Zhanhui, Ma, Jinwen. GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation[C]. IEEE; IEEE Circuits & Syst Soc; IEEE Commun Soc; IEEE Comp Soc; IEEE Signal Proc Soc; TENCENT; Meta; Youtube; Google, 2023, 1799-1804.
Authors:  Hong, Tao;  Wang, Ya;  Sun, Xingwu;  Lian, Fengzong;  Kang, Zhanhui; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3 | Submit date：2024/02/22
Cutmix  Data Augmentation  Image Classification  Saliency Detection