Effectiveness of Self-Reflective Prompting in Safety-Critical Medical Settings

Determine whether self-reflective (self-corrective) prompting enhances the reliability of large language models for medical question answering in safety-critical clinical settings.

Background

The paper investigates whether prompting LLMs to critique and revise their own reasoning (self-reflection) improves performance and reliability in medical multiple-choice question answering. Prior work suggests chain-of-thought prompting can improve reasoning transparency and sometimes accuracy, but the efficacy of iterative self-correction in high-stakes medical contexts is uncertain.

This uncertainty motivates the study’s comparative analysis of chain-of-thought versus self-reflective prompting across MedQA, HeadQA, and PubMedQA. The authors explicitly note that despite claims about improved reliability, the true effectiveness of self-reflection in safety-critical medical settings is still unclear, framing a central unresolved question addressed empirically in the paper.