arxiv
PublishedApril 30, 2026 at 4:00 AM
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Delineating Knowledge Boundaries for Honest Large Vision-Language Models
Publisher summary· verbatim
arXiv:2604.26419v1 Announce Type: cross Abstract: Large Vision-Language Models (VLMs) have achieved remarkable multimodal performance yet remain prone to factual hallucinations, particularly in long-tail or specialized domains. Moreover, current models exhibit a weak capacity to refuse queries that
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Originally published on arxiv ↗