Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning
Paper • 2605.26292 • Published
Run the following scripts to use the checkpoints and get testing results:
You can evaluate the few-shot results by downloading the models from here, placing the models in checkpoints, then running the following:
bash scripts/eval_fewshot.sh
You can evaluate the domain generalization results by downloading the models from here, placing the models in checkpoints, then running the following:
bash scripts/eval_dg.sh
If you use our work, please consider citing:
@article{koleilat2026evi,
title={Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning},
author={Koleilat, Taha and Rivaz, Hassan and Xiao, Yiming},
journal={arXiv preprint arXiv:2605.26292},
year={2026}
}