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Jun-Nan Li

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#artificial intelligence Preprint Oct 2026

AtomTree: A Hierarchical Framework for State-Aware Embodied Instruction Following with LLMs

AtomTree is presented, a hierarchical framework for state-aware task planning with LLMs that incrementally builds a tree of subgoals and actions, where the LLM decides at each step, from the current symbolic state, whether to further decompose or to output a grounded low-level action.

Hao-Tian Zhai, Tian-Ming Sha, Jun-Nan Li · 0 citations