Update README.md

README.md

@@ -20,6 +20,8 @@ pipeline_tag: text-to-speech
 </div>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2512.14291" target="_blank">📜 Paper</a>
+    &nbsp;&nbsp;|&nbsp;&nbsp;
     <a href="https://github.com/zai-org/GLM-TTS" target="_blank">💻 GitHub Repository</a>
     &nbsp;&nbsp;|&nbsp;&nbsp;
     <a href="https://audio.z.ai/" target="_blank">🛠️ Audio.Z.AI</a>
@@ -101,12 +103,16 @@ We thank the following open-source projects for their support:
 - [Vocos](https://github.com/charactr-platform/vocos) - Providing high-quality vocoder
 - [GRPO-Zero](https://github.com/policy-gradient/GRPO-Zero) - Reinforcement learning algorithm implementation inspiration
 
-If you use GLM-TTS in your research, please cite:
+If you find GLM-TTS useful for your research, please cite our technical report:
 
 ```bibtex
-@misc{glmtts2025,
-  title={GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS with Multi-Reward Reinforcement Learning},
-  author={CogAudio Group Members},
-  year={2025},
-  publisher={Zhipu AI Inc}
+@misc{cui2025glmttstechnicalreport,
+      title={GLM-TTS Technical Report}, 
+      author={Jiayan Cui and Zhihan Yang and Naihan Li and Jiankun Tian and Xingyu Ma and Yi Zhang and Guangyu Chen and Runxuan Yang and Yuqing Cheng and Yizhi Zhou and Guochen Yu and Xiaotao Gu and Jie Tang},
+      year={2025},
+      eprint={2512.14291},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD},
+      url={https://arxiv.org/abs/2512.14291}, 
+}
 }