Update README.md

README.md

@@ -195,7 +195,7 @@ We follow the general idea of [PromptPapers](https://github.com/thunlp/PromptPap
 
     *Yajing Liu, Yuning Lu, Hao Liu, Yaozu An, Zhuoran Xu, Zhuokun Yao.* [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Liu_Hierarchical_Prompt_Learning_for_Multi-Task_Learning_CVPR_2023_paper.pdf)][Code]
 
-  - **Focus Your Attention when Few-Shot Classification** NeurIPS 2023 ![](https://img.shields.io/badge/Image_Classification-green)
+  - **Focus Your Attention when Few-Shot Classification,** NeurIPS 2023 ![](https://img.shields.io/badge/Image_Classification-green)
 
     *Haoqing Wang, Shibo Jie, Zhi-Hong Deng.* [[Paper](https://nips.cc/media/neurips-2023/Slides/70162.pdf)][[Code](https://github.com/Haoqing-Wang/FORT)]
 
@@ -359,7 +359,7 @@ We follow the general idea of [PromptPapers](https://github.com/thunlp/PromptPap
 
   *Hengyuan Zhao, Hao Luo, Yuyang Zhao, Pichao Wang, Fan Wang, Mike Zheng Shou.* [[Paper](https://arxiv.org/abs/2303.07910)][Code]
 
-- **Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning** CVPR 2023 (arXiv2212.03220) ![](https://img.shields.io/badge/Image_Classification-green)
+- **Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning,** CVPR 2023 (arXiv2212.03220) ![](https://img.shields.io/badge/Image_Classification-green)
 
   *Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao.*  [[Paper](https://arxiv.org/abs/2212.03220)][Code](https://github.com/andytu28/VQT)