Title: From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents

Source: http://arxiv.org/abs/2604.23194v1

Summary:

This paper introduces AdaPlan-H, a novel agentic reasoning framework that enables LLM agents to dynamically adjust planning granularity based on task complexity. It provides a foundational primitive for long-horizon task execution by mimicking human progressive refinement to optimize the balance between planning detail and execution efficiency.