Large language models (LLMs) have shown promise in solving planning problems, but their success has been limited, particularly in the process of translating natural language planning descriptions into structured planning languages such as the Planning Domain Definition Language (PDDL). Current models, including GPT-4, have achieved only 35% accuracy on simple planning tasks, emphasizing the need…
