Update README.md

README.md

@@ -2,6 +2,17 @@
 license: mit
 ---
 
+# Introduction to TraDo
+
+[Paper](https://arxiv.org/abs/2509.06949) | [Code](https://github.com/Gen-Verse/dLLM-RL)
+
+We introduce **TraDo**, SOTA diffusion language model, trained with **TraceRL**.
+
+* **TraDo-4B-Instruct** and **TraDo-8B-Instruct** outperform similarly sized strong AR models across math reasoning tasks.
+* **TraDo-8B-Thinking** is the first Long-CoT diffusion language model.
+
+
+
 <p align="center">
   <img src="https://github.com/yinjjiew/Data/raw/main/dllm-rl/figure1.png" width="100%"/>
 </p>
@@ -12,22 +23,15 @@ license: mit
 </p>
 
 
-# Introduction to TraDo
-
-We introduce **TraDo**, SOTA diffusion language model, trained with **TraceRL**.
-
-* **TraDo-4B-Instruct** and **TraDo-8B-Instruct** outperform similarly sized strong AR models across math reasoning tasks.
-* **TraDo-8B-Thinking** is the first Long-CoT diffusion language model.
 
-[Paper](https://arxiv.org/abs/2506.03136) | [Code](https://github.com/Gen-Verse/dLLM-RL)
 
 # Citation
 
 ```
-@article{wang2025cure,
-  title={Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning},
-  author={Wang, Yinjie and Yang, Ling and Tian, Ye and Shen, Ke and Wang, Mengdi},
-  journal={arXiv preprint arXiv:2506.03136},
+@article{wang2025trado,
+  title={Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models},
+  author={Wang, Yinjie and Yang, Ling and Li, Bowen and Tian, Ye and Shen, Ke and Wang, Mengdi},
+  journal={arXiv preprint arXiv:2509.06949},
   year={2025}
 }
 ```