Update README.md

README.md

@@ -7,8 +7,8 @@ pipeline_tag: visual-question-answering
 library_name: transformers
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 # Visual Prompt Checkpoints for NR-IQA
-🔬 **Paper**: [Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA](https://arxiv.org/abs/xxxx.xxxxx)  
-💻 **Code**: [GitHub Repository](https://github.com/your-username/visual-prompt-nr-iqa)
+🔬 **Paper**: [Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA](https://arxiv.org/abs/xxxx.xxxxx) (will be released soon) 
+💻 **Code**: [GitHub Repository](https://github.com/yahya-ben/mplug2-vp-for-nriqa)
 
 ## Overview
 Pre-trained visual prompt checkpoints for **No-Reference Image Quality Assessment (NR-IQA)** using mPLUG-Owl2-7B. Achieves competitive performance with only **~600K parameters** vs 7B+ for full fine-tuning.