Image-to-Text
PEFT
Safetensors
medical-imaging
chest-xray
dermoscopy
vision-language
fairness
lora
mimic-cxr
padchest
ham10000
Instructions to use mbhosale/FairLLaVA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mbhosale/FairLLaVA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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## Citation
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```bibtex
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@
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title={FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants},
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author={
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2603.26008}
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}
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@article{ZambranoChaves2025,
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title={A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings},
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author={Zambrano Chaves, Juan Manuel and others},
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journal={Nature Communications}, year={2025}, volume={16}, pages={3108},
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doi={10.1038/s41467-025-58344-x}
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}
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@misc{liu2023improvedllava,
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title={Improved Baselines with Visual Instruction Tuning},
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author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Lee, Yong Jae},
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publisher={arXiv:2310.03744},
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year={2023}
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}
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```
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## Citation
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```bibtex
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@article{bhosale2026fairllava,
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title={FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants},
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author={Bhosale, Mahesh and Wasi, Abdul and Srivastava, Shantam and Latif, Shifa and Luan, Tianyu and Gao, Mingchen and Doermann, David and Gong, Xuan},
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journal={arXiv preprint arXiv:2603.26008},
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year={2026}
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}
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}
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```
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