Create README.md

README.md

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+---
+license: mit
+---
+
+## 🏰 **Pretrained and Fine-tuned Model**
+
+- The following checkpoints are utilized to run Robust-R1:
+
+  | Checkpoint | Link | Note |
+  |:---------:|:----:|:----:|
+  | Qwen2.5-VL-Base | [link](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct) | Used as initial weights for training. |
+  | **Robust-R1-SFT** | [link](https://huggingface.co/Jiaqi-hkust/Robust-R1-SFT) | Fine-tuned on [Robust-R1 dataset](https://huggingface.co/datasets/Jiaqi-hkust/Robust-R1) |
+  | **Robust-R1-RL** | [link](https://huggingface.co/Jiaqi-hkust/Robust-R1-RL) | Fine-tuned with reinforcement learning on [Robust-R1 dataset](https://huggingface.co/datasets/Jiaqi-hkust/Robust-R1) |
+
+## ⭐️ Citation
+
+If you find Robust-R1 useful for your research and applications, please cite using this BibTeX:
+   ``` latex
+   @inproceedings{tang2025robustr1,
+     title={Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding},
+     author={Tang, Jiaqi and Chen, Jianmin and Wei, Wei and Xu, Xiaogang and Liu, Runtao and Wu, Xiangyu and Xie, Qipeng and Wu, Jiafei and Zhang, Lei and Chen, Qifeng},
+     booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
+     year={2026}
+   }
+   ```
+