Improve model card: add metadata, library name and link to code
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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base_model:
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- Qwen/Qwen3-4B-Instruct-2507
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---
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# ClinAlign
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**ClinAlign** is a clinician-grounded healthcare alignment framework that scales from **instance rubrics** to a reusable library of **clinical principles**, enabling robust preference alignment and inference-time self-revision for medical LLMs.
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<p align="center">
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📃 <a href="https://arxiv.org/abs/2602.09653" target="_blank">Paper</a>
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</p>
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<p align="center">
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---
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## Acknowledgement
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- [verl](https://github.com/volcengine/verl)
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- [simple-evals](https://github.com/openai/simple-evals)
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---
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base_model:
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- Qwen/Qwen3-4B-Instruct-2507
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- medical
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- healthcare
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- alignment
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# ClinAlign
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**ClinAlign** is a clinician-grounded healthcare alignment framework that scales from **instance rubrics** to a reusable library of **clinical principles**, enabling robust preference alignment and inference-time self-revision for medical LLMs.
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<p align="center">
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📃 <a href="https://arxiv.org/abs/2602.09653" target="_blank">Paper</a> • 💻 <a href="https://github.com/AQ-MedAI/ClinAlign" target="_blank">Code</a>
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</p>
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<p align="center">
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---
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## Citation
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```bibtex
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@article{lyu2025clinalign,
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title={ClinAlign: Scaling Healthcare Alignment from Clinician Preference},
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author={Lyu, Shiwei and Wang, Xidong and Liu, Lei and Zhu, Hao and Zhang, Chaohe and Wang, Jian and Gu, Jinjie and Wang, Benyou and Shen, Yue},
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journal={arXiv preprint arXiv:2602.09653},
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year={2025}
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}
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```
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## Acknowledgement
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- [verl](https://github.com/volcengine/verl)
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- [simple-evals](https://github.com/openai/simple-evals)
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