Improve model card: Add pipeline tag, library name, and update details

This PR enhances the model card by:
- Adding `pipeline_tag: text-generation` to improve discoverability on the Hugging Face Hub for relevant tasks.
- Adding `library_name: transformers` to enable the automated "How to use" widget, as evidenced by the `config.json` file.
- Updating the model description to include context from the paper [Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models](https://huggingface.co/papers/2508.00410).
- Correcting the GitHub repository link to point to the accurate URL: [https://github.com/tmlr-group/Co-rewarding](https://github.com/tmlr-group/Co-rewarding).
- Updating the BibTeX entry in the `Citation` section to ensure the title precisely matches the paper's title.

README.md

@@ -1,19 +1,23 @@
 ---
 license: mit
+pipeline_tag: text-generation
+library_name: transformers
 ---
+
 ## TMLR-Group-HF/Entropy-Qwen3-1.7B-Base
 
-This is the Qwen3-1.7B-Base model trained by Entropy Minimization method using MATH training set.
+This is the Qwen3-1.7B-Base model trained by the Entropy Minimization method using the MATH training set. This model is a baseline evaluated 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].
+If you are interested in the Co-rewarding framework and its implementation, you can find more details on the official GitHub Repository: [https://github.com/tmlr-group/Co-rewarding](https://github.com/tmlr-group/Co-rewarding).
 
 ## Citation
 
-```
-@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},
+If you use our datasets or models, please cite our paper!
+```bibtex
+@article{zhang2025co,
+  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}
 }
 ```