LeafSkill: Efficient Leaf-Level Action Grounding for Recursive LLM Agents
Recursive large language model (LLM) agents solve long-horizon tasks through decomposition, execution, and environmental feedback. Yet after producing an atomic subtask, they often invoke the same large model again to translate a familiar instruction into an executable action. We observe that high-level planning is tas...
Sheng-Chang Liu, Ze-Xin-Yi-Chun Zhou, Zhen-Guo Xu et al.
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