MOSAIC 12B
 MOSAIC is a framework for efficient radiological report classification that is:
MOSAIC is a framework for efficient radiological report classification that is:
- ๐ Multilingual: Works across different languages
- ๐ฏ Taxonomy-Agnostic: Adapts to various classification schemes
- โก Computationally Efficient: Optimized for resource usage
Training code
Code available on GitHub.
References
A 4B model version is available at AliceSch/mosaic-4b.
Please cite this model as:
@article{schiavone2025mosaic,
  title={MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification},
  author={Schiavone, Alice and Fraccaro, Marco and Pehrson, Lea Marie and Ingala, Silvia and Bonnevie, Rasmus and Nielsen, Michael Bachmann and Beliveau, Vincent and Ganz, Melanie and Elliott, Desmond},
  journal={arXiv preprint arXiv:2509.04471},
  year={2025}
}
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