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MME-Safety: A Fine-grained Benchmark for Safety Evaluation of MLLMs

arXiv:2609.20850v1 Announce Type: new Abstract: While Multimodal Large Language Models (MLLMs) show remarkable advancements, their cross-modal capabilities introduce complex vulnerabilities that easily bypass unimodal filters. Existing benchmarks lack fine-grained intent-related annotations and rel…

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  1. 2026-09-21 04:00 · arXiv cs.CL
    MME-Safety: A Fine-grained Benchmark for Safety Evaluation of MLLMs

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