large vision-language models 1multilingual safety 1multimodal alignment 1neuron-level alignment 1parameter-efficient fine-tuning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs
Enyi Shi, Fei Shen, Chuancheng Shi +4
The paper introduces a neuron‑level safety alignment method that identifies and updates a tiny set of shared safety neurons across languages and modalities, enabling large vision‑l…
cs.CV2026
Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models
Enyi Shi, Pengyang Shao, Yanxin Zhang +5
The robust safety of Vision-Language Large Models (VLLMs) against joint multilingual and multimodal threats remains severely underexplored. Current benchmarks typically isolate the…
cs.CV2026
Targeted Interpretable Safety Neuron Enhancement for Multilingual Vision-Language Large Models
Enyi Shi, Fei Shen, Shuyi Miao +5
With the widespread deployment of vision-language large models (VLLMs), their safety alignment faces dual challenges across languages and modalities. Existing methods model multili…