SHOVIR: A Benchmark for Evaluating Vision Shortcut Learning in Radiology Report Generation
SHOVIR creates a benchmark to test if AI models generating radiology reports truly rely on visible image evidence or learn shortcuts from spurious correlations. By occluding specific visual regions, researchers can distinguish between models that use actual pathology and those that rely on learned patterns, revealing a critical risk in current vision-language approaches.