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LLMs can evolve surprisingly effective, interpretable Python planners that rival state-of-the-art classical planners, at a fraction of the computational cost.
LLMs can slash grounding time in classical planning by orders of magnitude, simply by sniffing out irrelevant objects and actions *before* the grounding process even starts.
