VirtualCrime is a three-agent sandbox framework that runs 40 crime tasks across 11 maps to measure how effectively LLMs plan and execute simulated criminal activities such as theft, robbery, and kidnapping.
− Risky: Violations, sensitive contexts, noise/damage, or repeated failed attempts
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VirtualCrime: Evaluating Criminal Potential of Large Language Models via Sandbox Simulation
VirtualCrime is a three-agent sandbox framework that runs 40 crime tasks across 11 maps to measure how effectively LLMs plan and execute simulated criminal activities such as theft, robbery, and kidnapping.