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

arXiv:2610.17706v1 Announce Type: cross Abstract: 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