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IntElicit is a framework that uses dialogue policy optimization with a decomposed process reward mechanism to elicit and assess contextualized creativity through adaptive AI interviewing, reducing confounders like domain knowledge and engagement. Experiments show it improves creative outcomes over static assessment methods.