Update README.md

README.md

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-This work is a companion to our earlier report [**KAT-V1: Kwai-AutoThink Technical Report**](https://arxiv.org/abs/2509.23967), where we first introduced the **AutoThink paradigm** for controllable reasoning. While KAT-V1 outlined the overall framework of **SFT + RL** for adaptive reasoning, this paper provides the **detailed algorithmic design** of that training recipe.  
+This work is a companion to our earlier report [**HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMs**](https://arxiv.org/abs/2509.23967), where we first introduced the **AutoThink paradigm** for controllable reasoning. While KAT-V1 outlined the overall framework of **SFT + RL** for adaptive reasoning, this paper provides the **detailed algorithmic design** of that training recipe.  
 
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