Update README.md

README.md

@@ -56,6 +56,7 @@ This model achieves **state-of-the-art accuracy among 1.5B reasoning models** wh
 - **Developed by**: Fang Wu\*, Weihao Xuan\*, Heli Qi\*, Ximing Lu, Aaron Tu, Li Erran Li, Yejin Choi  
 - **Institutional affiliations**: Stanford University, University of Tokyo, RIKEN AIP, University of Washington, UC Berkeley, Amazon AWS, Columbia University  
 - **Paper**: [DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search](https://huggingface.co/papers/2509.25454)
+- **Code**: [Github](https://github.com/smiles724/DeepSearch)
 - **Base Model**: Nemotron-Research-Reasoning-Qwen-1.5B v2
 - **Parameters**: 1.5B  
 - **Framework**: veRL