Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification

ArXi:2604.12647v1 Announce Type: cross Automated respiratory audio analysis promises scalable, non-invasive disease screening, yet progress is limited by scarce labeled data and costly expert annotation. Zero-shot inference eliminates task-specific supervision, but existing methods apply uniform computation to every input regardless of difficulty. We