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From Offline Proxies to Online Decisions: A Layered Engagement Evaluation Framework for Conversational AI

Li, Xuanyi et al.
arXiv (All) · Papers
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artificial-intelligenceinformation-retrievalmachine-learning
Online A/B experiments are the decision standard for user engagement, but traffic and readout time limit how many conversational-AI changes can be tested. We ask whether an offline signal designed to be computable without treatment-arm user exposure agrees with the outcomes of those experiments. We
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