metadata
license: mit
datasets:
- Yuting6/geoqa-r1v-augmentation
- Yuting6/math-8k-augmentation
- Yuting6/m3cot-augmentation
- Yuting6/TQA-augmentation
- Yuting6/Geo3k-augmentation
- Yuting6/geoqa-r1v-noise
- Yuting6/geoqa-r1v-crop
- Yuting6/geoqa-r1v-blur
- Yuting6/geoqa-r1v-8k-rotated
- Yuting6/geoqa-r1v-8k-mixup
base_model:
- Qwen/Qwen2.5-VL-7B-Instruct
Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning
Paper Title and Link
The model was presented in the paper Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning. You can also find the paper on arXiv: Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning (arXiv:2506.09736)
Paper Abstract
Vision-Matters is a simple visual perturbation framework that can be easily integrated into existing post-training pipelines including SFT, DPO, and GRPO. Our findings highlight the critical role of visual perturbation: better reasoning begins with better seeing.
- 🐙 GitHub Repo: YutingLi0606/Vision-Matters
- 💾 Dataset: Yuting6/vision-matters on Hugging Face