AgentBoundary: Counterfactual Evaluation of Safety in Tool-Using LLM Agents
Safety alignment for large language models (LLMs) in conversational settings is largely framed around whether to answer or refuse a request. In agentic settings, however, the same models must decide whether to act as permission-critical evidence emerges during execution. This creates a distinct challenge: apparent risk...
Tian-Zhuo Yang, Zi-Rui Mi, Yan-Tao Huang et al.
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