How China-Origin Vision-Language Models Move from Refusal to Reframing in State Alignment
State-aligned distortion has been documented in China-origin text-based large language models (LLMs), but whether, and in what form, it arises in multimodal systems has not been systematically examined. We construct a balanced benchmark of 200 core entries spanning ten politically sensitive topics, plus a seven-variant visual-abstraction probe, and run nine vision-language models (VLMs), seven China-origin and two non-China, across four elicitation paradigms and two prompt languages, yielding 21,708 trials. Each response is audited on six dimensions -- explicit refusal, information integrity, visual grounding, state-aligned framing, language consistency, and response length -- by two inde...
| Authors | Guang Yang, Fengchen Liu, Alex Wang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 12 August 2026 |
| Last updated at source | 12 August 2026 |
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