Update README.md

README.md

@@ -12,7 +12,7 @@ tags:
 - arxiv:2508.02258
 ---
 # Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
-\[[Arxiv](https://arxiv.org/abs/2508.02258)\] | \[[Github Repo](https://github.com/Wenchuan-Zhang/Patho-AgenticRAG)] | \[[Cite](#citation)\]
+\[[Arxiv](https://arxiv.org/abs/2508.02258)\] | \[[Github Repo](https://github.com/Wenchuan-Zhang/Patho-AgenticRAG)] | \[[Cite](#citation❤️)\]
 
 ## Introduction📝
 **Vision Language Models** have demonstrated significant potential in medical imaging tasks, but pathology presents unique challenges due to its ultra-high resolution, complex tissue structures, and nuanced clinical semantics. These challenges often lead to **hallucinations** in VLMs, where the outputs are inconsistent with the visual evidence, undermining clinical trust. Current **Retrieval-Augmented Generation (RAG)** approaches predominantly rely on text-based knowledge bases, limiting their ability to effectively incorporate critical visual information from pathology images.
@@ -81,7 +81,7 @@ We gratefully acknowledge the contributions of the open-source community, partic
 We thank the authors and contributors of these repositories for their dedication and impactful work, which made our development of Patho-AgenticRAG possible.
 
 ## Citation❤️
-If you find our work helpful, a citation would be greatly appreciated. Also, consider giving us a star ⭐ on GitHub to support the project!
+If you find our work helpful, a citation would be greatly appreciated. Also, consider giving us a star ⭐ to support the project!
 
 ```
 @article{zhang2025patho,