Automated structural testing of LLM-based agents: methods, framework, and case studies.
arXiv:2601.18827v2 Announce Type: replace-cross Abstract: LLM-based agents are rapidly being adopted across diverse domains. Since they interact with users without supervision, they must be tested extensively. Current testing approaches focus on acceptance-lev
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