CounterCount: Diagnosing Knowledge Bias in How Vision-Language Models Count Attributes
CounterCount goes beyond showing that VLMs fall back on knowledge priors, revealing that once a familiar context is recognized, models favor prior knowledge over available visual evidence rather than failing to encode that evidence.
Reem Alzahrani, Bushra Bin Hemid, Hassan Alshanqiti et al.
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