Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning Lin Guan

Neural Information Processing Systems 

However, methods that use LLMs directly as planners are currently impractical due to several factors, including limited correctness of plans, strong reliance on feedback from interactions with simulators or even the actual environment, and the inefficiency in utilizing human feedback.

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