Update README.md

README.md

@@ -7,25 +7,24 @@ datasets:
 # NEPA: Next-Embedding Predictive Architectures Are Strong Vision Learners
 
 [![Paper](https://img.shields.io/badge/arXiv-Paper-b31b1b?logo=arxiv&logoColor=b31b1b)]()
-[![Project Page](https://img.shields.io/badge/Project-Website-5B7493?logo=googlechrome&logoColor=5B7493)]()
-[![Hugging Model Card](https://img.shields.io/badge/huggingface-model:NEPA-lightblue)]()
+[![Project Page](https://img.shields.io/badge/Project-Website-5B7493?logo=googlechrome&logoColor=5B7493)](https://sihanxu.github.io/nepa)
+[![Hugging Model Card](https://img.shields.io/badge/huggingface-model:NEPA-lightblue)](https://huggingface.co/collections/SixAILab/nepa)
 
-This is a PyTorch/GPU re-implementation of Next-Embedding Predictive Architectures Are Strong Vision Learners.
+This is a PyTorch/GPU re-implementation of Next-Embedding Prediction Makes Strong Vision Learners.
 
 <p align="center">
   <img src="https://cdn-uploads.huggingface.co/production/uploads/63f233820a16587ea967adc2/f3ybK_7Mf7rMekc05AcWH.png" width="350">
 </p>
 
-The Next-Embedding Predictive Architecture. An image is split into patches and embedded into a sequence. An autoregressive model predicts the next embedding from previous ones.
+Next-Embedding Predictive Autoregression. An image is split into patches and embedded into a sequence. An autoregressive model predicts the next embedding from previous ones.
 
 ```
 @article{six2025nepa,
-  title={Next-Embedding Predictive Architectures Are Strong Vision Learners},
+  title={Next-Embedding Prediction Makes Strong Vision Learners},
   author = {Sihan Xu and Ziqiao Ma and Wenhao Chai and Xuweiyi Chen and Weiyang Jin and Joyce Chai and Saining Xie and Stella X. Yu},
   journal={arXiv preprint arXiv:},
   year={2025}
 }
-
 ```