A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners

Patrick Emami, Nan Qiang, Peter Graf

Supervised fine-tuning (SFT) improves end-to-end classical planning in large language models (LLMs), but do these models also learn to represent and reason about the planning probl…