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README.md
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@@ -22,7 +22,7 @@ Med-R1 is a reinforcement learning (RL)-enhanced vision-language model (VLM) des
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- **Anatomy Identification**, **Disease Diagnosis**, **Lesion Grading**, **Modality Recognition**, and **Biological Attribute Analysis**.
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## Use of Models
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```
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from transformers import Qwen2VLForConditionalGeneration, AutoProcessor
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MODEL_PATH = "yuxianglai117/Med-R1"
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processor = AutoProcessor.from_pretrained(MODEL_PATH)
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```
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## Citation
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- **Anatomy Identification**, **Disease Diagnosis**, **Lesion Grading**, **Modality Recognition**, and **Biological Attribute Analysis**.
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## Use of Models
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```python
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from transformers import Qwen2VLForConditionalGeneration, AutoProcessor
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MODEL_PATH = "yuxianglai117/Med-R1"
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processor = AutoProcessor.from_pretrained(MODEL_PATH)
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```
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## Citation
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```
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@misc{lai2025medr1reinforcementlearninggeneralizable,
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title={Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models},
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author={Yuxiang Lai and Jike Zhong and Ming Li and Shitian Zhao and Xiaofeng Yang},
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year={2025},
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eprint={2503.13939},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2503.13939},
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}
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```
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