Improve model card: Add pipeline tag, library, paper link, and correct GitHub/Citation (#1)

- Improve model card: Add pipeline tag, library, paper link, and correct GitHub/Citation (8d6a04cb39a44ff28ba1ae3a138f8781c2a18345)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,19 +1,22 @@
 ---
 license: mit
+pipeline_tag: text-generation
+library_name: transformers
 ---
+
 ## TMLR-Group-HF/Self-Certainty-Qwen2.5-7B
 
-This is the Qwen2.5-7B model trained by Self-Certainty method using MATH training set.
+This is the Qwen2.5-7B model trained by the Self-Certainty method using the MATH training set. It is part of the work presented in the paper [Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models](https://huggingface.co/papers/2508.00410).
 
-If you are interested in Co-Reward, you can find more details on our Github Repo [https://github.com/tmlr-group/Co-Reward].
+For more details on the Co-rewarding framework and its implementation, you can find the code and further information on the official GitHub repository: [https://github.com/tmlr-group/Co-rewarding](https://github.com/tmlr-group/Co-rewarding).
 
 ## Citation
 
-```
+```bibtex
 @article{zhang2025coreward,
-      title={Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement}, 
-      author={Zizhuo Zhang and Jianing Zhu and Xinmu Ge and Zihua Zhao and Zhanke Zhou and Xuan Li and Xiao Feng and Jiangchao Yao and Bo Han},
-      journal={arXiv preprint arXiv:2508.00410}
-      year={2025},
+      title={Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models},
+      author={Zhang, Zizhuo and Zhu, Jianing and Ge, Xinmu and Zhao, Zihua and Zhou, Zhanke and Li, Xuan and Feng, Xiao and Yao, Jiangchao and Han, Bo},
+      journal={arXiv preprint arXiv:2508.00410},
+      year={2025}
 }
 ```