AI RESEARCH
StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs
arXiv CS.AI
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ArXi:2605.25534v1 Announce Type: new Multimodal Large Language Models (MLLMs) excel at structural reasoning yet suffer from a sharp logical brittleness in structural consistency. We term this phenomenon Structural Cognitive Overload (SCO), a byproduct of the contention between deep reasoning and safety alignment. However, prior work has predominantly targeted typographic and pixel-level perturbations, leaving the study of SCO largely unexplored. To this end, we propose StructBreak, an automated end-to-end framework designed to quantify