metadata
license: mit
Robust-R1:Degradation-Aware Reasoning for Robust Visual Understanding
🏰 Pretrained and Fine-tuned Model
The following checkpoints are utilized to run Robust-R1:
Checkpoint Link Note Qwen2.5-VL-Base link Used as initial weights for training. Robust-R1-SFT link Fine-tuned on Robust-R1 dataset Robust-R1-RL link Fine-tuned with reinforcement learning on Robust-R1 dataset
⭐️ Citation
If you find Robust-R1 useful for your research and applications, please cite using this BibTeX:
@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}
}