Study uses counterfactual lesion erasure to curb medical VLM hallucinations
A paper on arXiv proposes counterfactual lesion erasure training so small medical vision-language models report only findings actually present in images, addressing bias where models name findings because the question mentions them.
Read the full story at arXiv cs.AI ↗