Tag
JevSpawn introduces a compositional policy that maps natural language task specifications to finite probabilistic exploration, using parallel action spawning and feedback-driven branch selection to speed up and improve LLM agent inference without additional training, evaluated on eight benchmark tasks against seven baselines.