AI RESEARCH
DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning
arXiv CS.AI
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ArXi:2602.08586v3 Announce Type: replace Multi-agent LLM systems consistently outperform single-agent baselines, yet practitioners still cannot predict which design works for a new task or diagnose why one fails. We argue this gap persists largely because the field lacks a diagnostic framework with measurable primitives and testable predictions. We