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Xuan Wang

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#artificial intelligence Preprint Oct 2026

Understanding Communication Failures in Multi-Agent LLM Systems

A corpus-grounded taxonomy of communication failures, built from 3,211 failed multi-round trajectories across medical QA, coding, finance, multi-hop reasoning, ethics, and embodied text tasks, finds that failures are dominated by recovery/correction and consensus/decision problems rather than isolated first-round mista...

Priya Pitre, Jun Hou, Yi Fang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems

Large language model (LLM) agent failures often contain multiple related errors rather than a single mistake. Existing attribution methods usually identify a responsible agent, step, or root cause, but do not explicitly model dependency between errors. We introduce EDGE, an Error Dependency Graph-guided multi-Error att...

Jun Hou, Priya Pitre, Yi Fang et al. · 4 citations · ⚡1

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