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GUI-HARVEST: self-improving GUI agents through evidence-driven harness evolution

AI agents
The executable harness around a GUI model — how observations are assembled, actions executed, and verification, recovery and termination controlled — determines most of an agent's behavior. GUI-HARVEST optimizes it automatically from execution evidence, tackling reconciling model intent with observed visual effects, diagnosing failures under variable execution, and controlling termination.

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