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University of Texas at San Antonio
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LLMs ace semantic similarity in medical QA, but VB-Score reveals they're failing to extract key medical entities, especially when answering questions about chronic conditions affecting older and minority populations.
Current XAI evaluations can be fooled: this new metric reveals that even small input variations can cause explanations to drastically change, undermining trust in pattern recognition systems.
