arXiv CS
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AdaT$^2$: Adaptive Test Transformations for Black-Box Boundary Testing of Conversational Agents
Conversational agents based on large language models (LLMs) must comply with policies. Each condition in a policy draws a boundary between user requests, and the agent must behave differently on its two sides. We present AdaT$^2$, which extracts statements from the agent's replies in exploratory con
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