JET: Judge-Guided Evolution at Test Time for Agent Programs
JET is introduced, which evolves an executable judge on labeled source trajectories, then freezes and transfers it to guide target-side program evolution, andalyses identify useful reward-prediction logic in the evolved code and show that better final selection alone cannot explain the gains.
Yao-Long Teng, Jia-Yi Cai, Bo An
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