--- dataset_info: features: - name: id dtype: string - name: image list: image: mode: RGBA - name: source dtype: string - name: problem dtype: string - name: solution dtype: string splits: - name: test num_bytes: 1226261011 num_examples: 2451 - name: train num_bytes: 22901597169 num_examples: 51335 download_size: 47058109860 dataset_size: 24127858180 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* license: cc task_categories: - image-text-to-text language: - en tags: - medical - biology size_categories: - 10K MediX-R1

MediX-R1

#### **Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE** [![Website](https://img.shields.io/badge/Project-Website-87CEEB)](https://medix.cvmbzuai.com) [![Paper](https://img.shields.io/badge/arXiv-Paper-red.svg)](https://arxiv.org/pdf/2602.23363) [![HuggingFace](https://img.shields.io/badge/HuggingFace-Page-F9D371)](https://huggingface.co/collections/MBZUAI/medix-r1) [![Leaderboard](https://img.shields.io/badge/MediX-Leaderboard-green)](https://medix.cvmbzuai.com/leaderboard) --- ## Model Zoo | Model | HuggingFace | |-------|-------------| | MediX-R1-2B | [MBZUAI/MediX-R1-2B](https://huggingface.co/MBZUAI/MediX-R1-2B) | | MediX-R1-8B | [MBZUAI/MediX-R1-8B](https://huggingface.co/MBZUAI/MediX-R1-8B) | | MediX-R1-30B | [MBZUAI/MediX-R1-30B](https://huggingface.co/MBZUAI/MediX-R1-30B) | --- ## Citation If you use MediX-R1 in your research, please cite our work as follows: ```bibtex @misc{mullappilly2026medixr1openendedmedical, title={MediX-R1: Open Ended Medical Reinforcement Learning}, author={Sahal Shaji Mullappilly and Mohammed Irfan Kurpath and Omair Mohamed and Mohamed Zidan and Fahad Khan and Salman Khan and Rao Anwer and Hisham Cholakkal}, year={2026}, eprint={2602.23363}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2602.23363}, } ``` --- ## License This project is released for **research purposes only** under [*CC-BY-NC-SA 4.0*](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.en) License. It is not intended for clinical or commercial use. Users are urged to employ MediX-R1 responsibly, especially when applying its outputs in real-world medical scenarios. It is imperative to verify the model's advice with qualified healthcare professionals and not rely on it for medical diagnoses or treatment decisions. --- ## Acknowledgements We are thankful to [EasyR1](https://github.com/hiyouga/EasyR1) (a fork of [veRL](https://github.com/volcengine/verl)) for their open-source RL training framework. This work was partially supported with *NVIDIA Academic Grant 2025* and *MBZUAI-IITD* Research Collaboration Seed Grant. We are grateful to [MBZUAI](https://mbzuai.ac.ae/) for compute and support.