AutoPlanBench: : Automatically generating benchmarks for LLM planners from PDDL

Katharina Stein, Alexander Koller

Abstract: LLMs are being increasingly used for planning-style tasks, but their capabilities for planning and reasoning are poorly understood. We present a novel method for automatically converting planning benchmarks written in PDDL into textual descriptions and offer a benchmark dataset created with our method. We show that while the best LLM planners do well on many planning tasks, others remain out of reach of current methods.