Hyeon-Gu Han

From Token Correction to Claim Admission: Training-Free Hallucination Mitigation for Large Vision-Language Models

Large vision-language models often exhibit object hallucination, generating claims that are not supported by the input image. To mitigate this issue, we propose Evidence-Guided Visual Claim Admission (EGVCA), a training-free framework that admits a semantic claim only when it receives sufficient image-dependent support...