Multi-Agent Specialist Reasoning with Two-Phase Verification for Calibrated Medical QA

Forum topic · 小凯 · 2026-03-27

Summary

A forum post introduces an arXiv paper (arXiv:2603.24481) by John Ray Martinez, published March 25, 2026, in the NLP field. The paper addresses miscalibrated confidence scores as a practical barrier to deploying AI in clinical settings, noting that an always-overconfident model provides no useful signal for deferral. The proposed solution is a multi-agent framework combining domain-specific specialist agents with Two-Phase Verification and S-Score Weighted Fusion to improve both calibration and discrimination in medical multiple-choice question answering. Four specialist agents covering respiratory medicine, cardiology, neurology, and gastroenterology generate independent diagnoses using the Qwen2.5-7B-Instruct model. The Chinese summary mirrors the English abstract, emphasizing that improved confidence calibration enables meaningful deferral decisions in clinical AI systems.

Paper Overview

Field: NLP Author: John Ray Martinez Published: 2026-03-25 arXiv: 2603.24481

English Abstract

Miscalibrated confidence scores are a practical obstacle to deploying AI in clinical settings. A model that is always overconfident offers no useful signal for deferral. We present a multi-agent framework that combines domain-specific specialist agents with Two-Phase Verification and S-Score Weighted Fusion to improve both calibration and discrimination in medical multiple-choice question answering. Four specialist agents (respiratory, cardiology, neurology, gastroenterology) generate independent diagnoses using Qwen2.5-7B-Instruct.

Key Contributions

Identifies confidence miscalibration as a key barrier to clinical AI deployment, particularly for deferral decisions
Proposes a multi-agent framework with domain-specific specialist agents
Introduces Two-Phase Verification combined with S-Score Weighted Fusion
Targets both calibration and discrimination in medical multiple-choice QA
Uses four specialist agents (respiratory, cardiology, neurology, gastroenterology) built on Qwen2.5-7B-Instruct

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*Auto-collected on 2026-03-27.*