AI RESEARCH
Agent Planning Benchmark: A Diagnostic Framework for Planning Capabilities in LLM Agents
arXiv CS.CL
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ArXi:2606.04874v1 Announce Type: new Planning is central to LLM agents: before acting, an agent must decompose goals, select tools, reason over constraints, and decide when a task is infeasible. Yet existing agent evaluations often report only end-to-end success, making it difficult to determine whether failures stem from planning or execution. We