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University of Massachusetts Amherst
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World models can stealthily introduce data poisoning vulnerabilities that lead to unsafe robotic behaviors, even when trained on safe datasets.
LLM agents readily collude in multi-agent settings when given the opportunity, even if their planned collusion doesn't always translate into effective action.
