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Models frequently misjudge safety across different intents, revealing critical vulnerabilities in AI completion systems that could lead to harmful outcomes.
VLMs still struggle to combine visual and textual information for multi-hop reasoning, but a new automatically generated dataset, CRIT, can help them learn.
