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* **Multi-Task Support**: Supports Visual Question Answering (VQA), Report Generation, and Visual Grounding.
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* **Resident-Level Report Drafting**: Matches or outperforms resident-drafted reports in
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- **Two Inference Modes**
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- **Reasoning Mode**: Higher performance with explicit reasoning traces.
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## ✏️ Citation
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📝 <a href="https://arxiv.org/abs/2604.00493v1" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/StanfordAIMI/CheXOne" target="_blank">Hugging Face</a> • 🧩 <a href="https://github.com/YBZh/CheXOne" target="_blank">Github</a> • 🪄 <a href="https://github.com/YBZh/CheXOne" target="_blank">Project</a>
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* **Multi-Task Support**: Supports Visual Question Answering (VQA), Report Generation, and Visual Grounding.
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* **Resident-Level Report Drafting**: Matches or outperforms resident-drafted reports in 55% of cases.
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- **Two Inference Modes**
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- **Reasoning Mode**: Higher performance with explicit reasoning traces.
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## ✏️ Citation
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```
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@misc{zhang2026reasoningenabledvisionlanguagefoundationmodel,
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title={A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation},
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author={Yabin Zhang and Chong Wang and Yunhe Gao and Jiaming Liu and Maya Varma and Justin Xu and Sophie Ostmeier and Jin Long and Sergios Gatidis and Seena Dehkharghani and Arne Michalson and Eun Kyoung Hong and Christian Bluethgen and Haiwei Henry Guo and Alexander Victor Ortiz and Stephan Altmayer and Sandhya Bodapati and Joseph David Janizek and Ken Chang and Jean-Benoit Delbrouck and Akshay S. Chaudhari and Curtis P. Langlotz},
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year={2026},
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eprint={2604.00493},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2604.00493},
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}
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```
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