Identifying Intelligent Processes via Online Sequential Testing

arXiv:2609.26193v1 Announce Type: new Abstract: Active sequential hypothesis testing studies how to identify an unknown hypothesis with a given set of sensing actions. We study this in the setting of identifying large language models (LLMs), \textit{i.e.}, if a user is conversing with an LLM drawn…

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