AI RESEARCH
Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models
arXiv CS.CV
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ArXi:2601.22737v2 Announce Type: replace The robust safety of Vision-Language Large Models (VLLMs) against joint multilingual and multimodal threats remains severely underexplored. Current benchmarks typically isolate these dimensions, being either multilingual but text-only, or multimodal but monolingual.