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Chinese Academy of Sciences
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Even the strongest VLA models face significant safety challenges, with structural and visual variations leading to greater risks than language commands alone.
Mainstream LLMs struggle to navigate safety risks in scientific applications, revealing critical vulnerabilities in AI4Science workflows.
Frontier AI models exhibit widespread safety vulnerabilities across multiple pillars, including risky agentic autonomy and catastrophic risks, according to a new comprehensive benchmark.
