AI RESEARCH

NaviAgent: Graph-Driven Bilevel Planning for Scalable Tool Orchestration

arXiv CS.CL

ArXi:2506.19500v3 Announce Type: replace-cross Large Language Models (LLMs) increasingly act as function-call agents that invoke external tools to tackle tasks beyond their static knowledge. However, they typically invoke tools one at a time without a global view of task structure. As tools often depend on one another, this leads to error accumulation and poor scalability, particularly when scaling to hundreds or thousands of tools.