A scene-graph plus LLM question-answering pipeline scores text-to-image faithfulness and categorizes hallucination types, but the measured correlation gain over prior metrics is small and not statistically tested.
Learning transferable visual models from natural language supervision
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Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent
A scene-graph plus LLM question-answering pipeline scores text-to-image faithfulness and categorizes hallucination types, but the measured correlation gain over prior metrics is small and not statistically tested.