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- MMLU
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paper: 2510.04284
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model_name: Doctor-R1
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---
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# Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning
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For collaborations or inquiries, please contact [**[email protected]**](mailto:[email protected]). You’re also welcome to open an issue or join the discussion in this repository, we value your insights and contributions to **Doctor-R1**.
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Stay tuned and join our community as we push the boundaries of intelligent healthcare. Together, let’s make medical AI safer, smarter, and more human. 🤝
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- MMLU
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paper: 2510.04284
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model_name: Doctor-R1
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metrics:
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- accuracy
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---
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# Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning
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For collaborations or inquiries, please contact [**[email protected]**](mailto:[email protected]). You’re also welcome to open an issue or join the discussion in this repository, we value your insights and contributions to **Doctor-R1**.
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Stay tuned and join our community as we push the boundaries of intelligent healthcare. Together, let’s make medical AI safer, smarter, and more human. 🤝
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