Update README.md

README.md

@@ -6,7 +6,7 @@ base_model:
 - Qwen/Qwen3-4B
 pipeline_tag: visual-question-answering
 ---
-# R-4B: Incentivizing General-Purpose Auto-Thinking Capabilities in MLLMs via Bi-Mode Integration
+# R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Integration
 
 [[📚 Arxiv Paper (Coming soon)](https://huggingface.co/YannQi/R-4B)] [[🤗 Hugging Face](https://huggingface.co/YannQi/R-4B)]  [[🤖️ ModelScope](https://huggingface.co/YannQi/R-4B)] [[💻 Code](https://github.com/yannqi/R-4B)]
 
@@ -33,7 +33,7 @@ The development of R-4B follows a two-stage training paradigm:
 
   - **Auto-thinking Mode:** Unleash **auto-thinking** that works across general topics, from simple Q&A to complex scientific analysis. It saves time and computation by thinking only when it matters.
   - **Support Manual Control:**  Explicitly command the model to use its `thinking` or `non-thinking` capabilities, enabling you to make your choices for every job.
-- 🏆  ** Strong Performance, Open for Everyone!**
+- 🏆  **Strong Performance, Open for Everyone!**
   Our model is now **fully open-source**. It achieves **state-of-the-art performance** among models of comparable size.
 
 ## 📢 News