Preprint
Aug 2026
ADE: Agentic Data Evolution Framework for Human-Centered Objectives
Agentic Data Evolution is proposed, a data-centric framework that organizes synthetic supervision as evolving data snapshots through a closed-loop Observation-Variation-Selection procedure, where a steady-state admission mechanism acts as a quality ratchet that conservatively gates updates for sustained cross-round improvement.
Yang Yu, Yilin Jiang, Zexuan Fei et al.
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