POPE

POPE (Polling-based Object Probing Evaluation) is a benchmark specifically designed to evaluate object hallucination in large vision-language models. Using a polling-based query method, POPE systematically tests whether models accurately identify the presence or absence of objects in images, providing crucial insights into visual grounding accuracy and the tendency of multimodal models to hallucinate non-existent objects.