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AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories
LLM agents operate in workflows where unsafe actions can have real consequences. Existing safety evaluations often reduce behavior to a single score, obscuring risk recognition, pre-action detection, and safe task completion when a safe solution exists. We introduce AURA-Eval, a framework combining
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