Update README.md

README.md

@@ -6,10 +6,22 @@ base_model:
 - Qwen/QwQ-32B
 ---
 
-### Instruction
-[![GitHub](https://img.shields.io/badge/GitHub-Repository-black?logo=github)](https://github.com/inclusionAI/ASearcher) 
+<style>
+  .no-border-table table, .no-border-table th, .no-border-table td {
+    border: none !important;
+  }
+</style>
+
+<div class="no-border-table">
+
+| | |
+|-|-|
+| [![GitHub](https://img.shields.io/badge/GitHub-Repository-black?logo=github)](https://github.com/inclusionAI/ASearcher) | [![arXiv](http://img.shields.io/badge/cs.AI-arXiv%3A2506.07982-B31B1B.svg?logo=arxiv&logoColor=red)](https://arxiv.org/abs/2508.07976) |
 
-📄Paper:  [https://arxiv.org/abs/2508.07976](https://arxiv.org/abs/2508.07976)
+</div>
+
+
+### Instruction
 
 ASearcher is an open-source framework designed for large-scale online reinforcement learning (RL) training of search agents. Our mission is to advance Search Intelligence to expert-level performance. We are fully committed to open-source by releasing model weights, detailed training methodologies, and data construction pipelines. Additionally, we provide comprehensive guidance on building and training customized agents based on AReaL. ASearcher empowers developers to build their own high-performance search agents easily and cost-effectively.