Update README.md

README.md

@@ -12,7 +12,7 @@ short_description: Enables reasoning-LLM to ask clarification questions
 # Reasoning While Asking: Transforming Reasoning LLMs into Proactive Inquirers (PIR)
 
 [![arXiv](https://img.shields.io/badge/arXiv-2601.22139-b31b1b.svg)](https://arxiv.org/abs/2601.22139)
-[![GitHub](https://img.shields.io/badge/GitHub-Proactive--Interactive--R1-black?logo=github)](https://github.com/Proactive-Interactive-R1)
+[![GitHub](https://img.shields.io/badge/GitHub-Proactive--Interactive--R1-black?logo=github)](https://github.com/SUAT-AIRI/Proactive-Interactive-R1)
 
 This organization hosts the official models and datasets for the paper **"Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers"**.
 
@@ -22,8 +22,7 @@ Current reasoning LLMs (e.g., GPT-o1, DeepSeek-R1) suffer from **blind self-thin
 
 **PIR (Proactive Interactive Reasoning)** is a new paradigm that transforms reasoning LLMs from passive solvers into **proactive inquirers**. Instead of guessing, PIR-enabled models detect uncertainty during reasoning and actively ask users for clarification before proceeding.
 
-![PIR Framework Overview](https://raw.githubusercontent.com/Proactive-Interactive-R1/Proactive-Interactive-R1/main/image/paradigm.png)
-*(Note: If the image above does not load, please view it on our [GitHub](https://github.com/Proactive-Interactive-R1))*
+![PIR Framework Overview](https://github.com/SUAT-AIRI/Proactive-Interactive-R1/blob/main/image/paradigm.png)
 
 ### Key Features