TAPAS uses several specialized language-model agents to generate, correct, and adapt symbolic planning problems, reporting high benchmark accuracy and a virtual-home execution demo.
Lan- guage models as zero-shot planners: Extracting actionable knowledge for embodied agents,
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Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning
TAPAS uses several specialized language-model agents to generate, correct, and adapt symbolic planning problems, reporting high benchmark accuracy and a virtual-home execution demo.