Update README.md

README.md

@@ -4,14 +4,14 @@ license: apache-2.0
 
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 <h1>EVEv2: Improved Baselines for Encoder-Free Vision-Language Models</h1h1>
-<h3><a href="https://github.com/baaivision/EVE/EVEv2/images/EVEv2.0.pdf">EVEv2: Improved Baselines for Encoder-Free Vision-Language Models</a></h3>
+<h3><a href="https://github.com/baaivision/EVE/blob/main/EVEv2/images/EVEv2.0.pdf">EVEv2: Improved Baselines for Encoder-Free Vision-Language Models</a></h3>
 
 [Haiwen Diao*](https://scholar.google.com/citations?user=46eCjHQAAAAJ&hl=zh-CN), [Xiaotong Li*](https://scholar.google.com/citations?hl=zh-CN&user=cpCE_T4AAAAJ), [Yufeng Cui*](https://scholar.google.com/citations?user=5Ydha2EAAAAJ&hl=zh-CN&oi=ao), [Yueze Wang*](https://scholar.google.com/citations?user=ga2MKaMAAAAJ&hl=zh-CN), [Haoge Deng](https://scholar.google.com/citations?user=S2sbvjgAAAAJ&hl=zh-CN), [Ting Pan](https://scholar.google.com/citations?user=qQv6YbsAAAAJ&hl=zh-CN), [Wenxuan Wang](https://scholar.google.com/citations?hl=zh-CN&user=75OyC-oAAAAJ), [Huchuan Lu📧](https://scholar.google.com/citations?user=D3nE0agAAAAJ&hl=zh-CN), [Xinlong Wang📧](https://scholar.google.com/citations?user=DPz0DjYAAAAJ&hl=zh-CN)
 
 Dalian University of Technology; Beijing Academy of Artificial Intelligence; Peking University;   
 Beijing University of Posts and Telecommunications; University of Chinese Academy of Sciences; Chinese Academy of Sciences Institute of Automation
 
-|  [Paper](https://github.com/baaivision/EVE/EVEv2/images/EVEv2.0.pdf) | [Code](https://github.com/baaivision/EVE) |
+|  [Paper](https://github.com/baaivision/EVE/blob/main/EVEv2/images/EVEv2.0.pdf) | [Code](https://github.com/baaivision/EVE) |
 </div>
 
 Existing encoder-free vision-language models (VLMs) are rapidly narrowing the performance gap with their encoder-based counterparts, highlighting the promising potential for unified multimodal systems with structural simplicity and efficient deployment.