Ying-Xu Wang

Abstract Concept Grounding through Safety Alignment in Multimodal Large Language Models

Abstract concepts such as harmfulness, legality, privacy, and fraud present a major challenge for multimodal large language models (MLLMs), as they require reasoning across visual, linguistic, and contextual information rather than direct perception. This paper investigates three questions: whether supervised alignment...