SAGE: A Statistical Acceptance Gate for Self-Evolving Agents
SAGE is a conservative refinement of the standard gate that recovers the baseline exactly at a boundary setting, and employs a one-sided paired test that commits an edit only when its wins are statistically reliable against its losses, and it abstains otherwise.
Yi-Hao Wang, Lin-Han Xia, Rui Liu et al.
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