Which LLM is Best for Translating Natural Language Goals to PDDL
This paper empirically evaluates whether current Large Language Models can reliably translate natural language testing goals, written in informal language by video game testers, into well-formed PDDL targets suitable for classical planning.
Tomás Balyo, L. Chrpa, G. M. Youngblood
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