Author

Jun Hou

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#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

#small language model Preprint Aug 2026

Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction

A role-specialized Mixture-of-Agents (MoA) that combines medical knowledge retrieval with contrastive similar-patient reasoning is studied, placing role design as a key factor in privacy-constrained, training-free clinical LLM prediction.

Jun Hou, Yi Fang, Xuan Wang · 0 citations