2026
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
AAAI 2026technical
Recently Multimodal Large Language Models (MLLMs) have achieved considerable advancements in vision-language tasks, yet produce potentially harmful or untrustworthy content. Despite substantial work investigating the trustworthiness of language models, MMLMs