Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning

Researchers present a multi-agent Large Language Model framework for interactive AI planning systems that provides context-dependent explanations to human planners. The system aims to facilitate collaborative decision-making between humans and AI rather than replacing human planners entirely.