KSAFE-MM: A Multimodal Safety Benchmark via Localized Contextualization for Korean Cultural Risks 事件

KSAFE-MM: A Multimodal Safety Benchmark via Localized Contextualization for Korean Cultural Risks arXiv:2605.28013v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) exacerbate safety risks by introducing vulnerabilities across multiple modalities, such as language and vision. Current MLLM safety evaluation tools, however, suffer from major limitations: 1) English-centric dataset construction, and 2) a focus on generic risks that are not tied to local cultural contexts. Thi