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This paper introduces GrowLoop, a self-evolving evaluation system for assessing human-likeness in open-ended conversations. It uses minimal human seed annotations to iteratively refine evaluation rubrics, addressing challenges of tacit knowledge, varying human agreement, and evolving model capabilities.