Beyond What Meets the Eye: Unveiling Situational Illusions for Multimodal Large Language Models
This paper develops a comprehensive where-what-how taxonomy that characterizes where situational illusions occur, what targets they take, and how they arise, and introduces MSIBench, a benchmark designed to assess the discrimination, understanding, and reasoning capabilities of MLLMs under situational illusions.