Update README.md

README.md

@@ -15,7 +15,7 @@ pipeline_tag: visual-question-answering
   <img src="https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/X8AXMkOlKeUpNcoJIXKna.webp" alt="Image Description" width="300" height="300">
 </p>
 
-\[[Paper](https://arxiv.org/abs/2312.14238)\]  \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)]
+\[[InternVL 1.5 Technical Report](https://arxiv.org/abs/2404.16821)\]  \[[Paper](https://arxiv.org/abs/2312.14238)\]  \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)]
 
 InternVL-Chat-V1.2-Plus uses the same model architecture as [InternVL-Chat-V1.2](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2), but the difference lies in the SFT dataset. InternVL-Chat-V1.2 only utilizes an SFT dataset with 1.2M samples, while **our plus version employs an SFT dataset with 12M samples**.