Yifan Wu

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models

Fine-grained hallucination diagnosis for MLLMs is proposed, a new unified task that jointly performs hallucination detection, classification, and interpretable explanation generation and feedback experiments show that the fine-grained diagnostic explanations produced by the model effectively guide target models to correct their hallucinations.