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Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives

Jin, Haibo et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learningmultiagent-systemssoftware-engineering
Large language models (LLMs) augmented with external tools have demonstrated remarkable capability in solving complex real-world tasks. However, existing approaches suffer from two key challenges: brittle multi-step and multi-turn reasoning caused by incompatible tool output types and API schemas, a
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