BioVLM achieves state-of-the-art cross-modality generalization on biomedical VLMs by learning a prompt bank and routing inputs to the most discriminative prompts via low-entropy selection plus LLM distillation.
using Expected Cali- bration Error (ECE) (Guo et al., 2017)
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BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs
BioVLM achieves state-of-the-art cross-modality generalization on biomedical VLMs by learning a prompt bank and routing inputs to the most discriminative prompts via low-entropy selection plus LLM distillation.