G-SHARE: A Guideline-Based Structured Reasoning Framework for Human-Factor Event Diagnosis

Jul 15, 2026

Researchers introduce G-SHARE, a framework that translates the CNNP nine-step human-factor event diagnosis guideline into a multi-stage pipeline for analyzing events in nuclear power plants. The system integrates evidence extraction, stepwise diagnostic reasoning, and post-hoc consistency repair, enabling explicit use of report evidence and logical validation of outputs. In evaluations on real-world event reports, G-SHARE substantially outperforms one-shot prompting and traditional machine learning baselines, with structured reasoning and consistency enforcement shown to be critical for robust diagnosis.

Why it matters: This work demonstrates a practical method for converting expert diagnostic guidelines into auditable, structured reasoning workflows, potentially improving reliability in safety-critical industries.

Full story at: arXiv Computation and Language ↗