Update README.md

README.md

@@ -28,7 +28,7 @@ to separately quantify subject consistency, naturalness, and text relevance in g
 evaluation of 14 representative S2V models, highlighting their strengths and weaknesses across different content.
 
 ## 📣 Evaluate Your Own Models
-For how to evaluate your customized model like OpenS2V-Eval in the [OpenS2V-Nexus paper](https://huggingface.co/papers/), please refer to [here](https://github.com/PKU-YuanGroup/OpenS2V-Nexus/tree/main/eval).
+For how to evaluate your customized model like OpenS2V-Eval in the [OpenS2V-Nexus paper](https://huggingface.co/papers/2505.20292), please refer to [here](https://github.com/PKU-YuanGroup/OpenS2V-Nexus/tree/main/eval).
 
 ## ⚙️ Get Videos Generated by Different S2V models
 For more details, please refer to [here](https://huggingface.co/datasets/BestWishYsh/OpenS2V-Eval/tree/main/Results).