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- multimodal
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pipeline_tag: visual-question-answering
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- **MM-thinker-72B-Preview** improves visual reasoning upon [Qwen2.5-VL-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct) model.
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Stay tuned!
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## Citation
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If you find our model useful, please consider citing:
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pipeline_tag: visual-question-answering
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# VL-Reasoner-72B
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**VL-Reasoner-72B** achieves superior results on various multimodal reasoning benchmarks.
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It is trained using the **GRPO-SSR** techniques, serving as the foundation for [**VL-Rethinker**](https://huggingface.co/TIGER-Lab/VL-Rethinker-72B/).
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For details of our approach and performance comparison, please see our [paper](https://github.com/TIGER-AI-Lab/VL-Rethinker/blob/main/paper.pdf).
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For details of training and evaluation, please see our [code repo](https://github.com/TIGER-AI-Lab/VL-Rethinker/).
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Explore further via the following links:
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| [**🚀Project Page**](https://tiger-ai-lab.github.io/VL-Rethinker/) | [**📖Paper**](https://arxiv.org/abs/2504.08837) | [**🔗Github**](https://github.com/TIGER-AI-Lab/VL-Rethinker/) | [**🤗Data** (Coming Soon)]() |
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## Citation
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If you feel this model useful, please give us a free cite:
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```
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@article{vl-rethinker,
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title={VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning},
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author = {Wang, Haozhe and Qu, Chao and Huang, Zuming and Chu, Wei and Lin, Fangzhen and Chen, Wenhu},
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journal={arXiv preprint arXiv:2504.08837},
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year={2025}
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}
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```
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