Best-of-N sampling plus iterative self-critique, called iVML, lets a 7B open LLM generate PDDL planning domains with over 85% and 71% success on two benchmarks, outperforming o1-mini.
Learning discrete world models for heuristic search
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Generating Symbolic World Models via Test-time Scaling of Large Language Models
Best-of-N sampling plus iterative self-critique, called iVML, lets a 7B open LLM generate PDDL planning domains with over 85% and 71% success on two benchmarks, outperforming o1-mini.