DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning 事件

DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning arXiv:2602.08586v3 Announce Type: replace Abstract: 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 introduce \textbf{DIANOIA}, a three-channel decomposit