link

README.md

@@ -21,13 +21,13 @@ It composes of an EVA-CLIP vision encoder, a Q-Former, a projection layer and an
 LoViM_Vicuna was trained in July 2023.
 
 **Paper or resources for more information:**
-https://project page
+https://gordonhu608.github.io/lovim/
 
 **License:**
 BSD 3-Clause License
 
 **Where to send questions or comments about the model:**
-https://github.com/
+https://github.com/mlpc-ucsd/LoViM
 
 ## Intended use
 **Primary intended uses:**
@@ -46,4 +46,4 @@ For zero-shot evaluation on general image task, we selected Nocaps, Flickr30K, V
 
 For zero-shot evaluation on text-rich image OCR task, we selected ST-VQA, OCR-VQA, Text-VQA, and Doc-VQA.
 
-More detials are in our github, https://github.com/
+More detials are in our github, https://github.com/mlpc-ucsd/LoViM