Inspire or Predict? Exploring New Paradigms in Assisting Classical Planners with Large Language Models

ArXi:2508.11524v2 Announce Type: replace Addressing large-scale planning problems has become one of the central challenges in the planning community, deriving from the state-space explosion caused by growing objects and actions. Recently, researchers have explored the effectiveness of leveraging Large Language Models (LLMs) to generate helpful actions and states to prune the search space. However, prior works have largely overlooked integrating LLMs with domain-specific knowledge to ensure valid plans.