Update README.md

README.md

@@ -16,16 +16,17 @@ tags:
 # ActPRM
 
 ## Links
-- [GitHub](https://github.com/sail-sg/ActivePRM)
-- [ActivePRM Collection](https://huggingface.co/collections/sail/active-prm-67fccbc10c94c41a6d6b26d9)
+- 💻 [GitHub](https://github.com/sail-sg/ActivePRM)
+- 🤗 [ActivePRM Collection](https://huggingface.co/collections/sail/active-prm-67fccbc10c94c41a6d6b26d9)
 
 ## Introduction
 
-We release our process reward model effectively trained with active learning based on `Qwen/Qwen2.5-Math-7B-Instruct`.
+We release our process reward model effectively trained with active learning based on `Qwen/Qwen2.5-Math-7B-Instruct`. The model achieved 75.0% on [ProcessBench](https://github.com/QwenLM/ProcessBench) and 65.5% on [PRMBench](https://github.com/ssmisya/PRMBench).
 
- <!-- <p align="center">
-  <img src="https://raw.githubusercontent.com/sail-sg/ActivePRM/refs/heads/main/assets/figure1.png" width=70%/>
-</p> -->
+ <p align="center">
+  <img src="https://raw.githubusercontent.com/sail-sg/ActivePRM/refs/heads/master/assets/processbench.png" width=70%/>
+  <img src="https://raw.githubusercontent.com/sail-sg/ActivePRM/refs/heads/master/assets/prmbench.png" width=70%/>
+</p>
 
 ### Usage
 We provide a code snippet to show the usage of our PRM.