Top AI models fail spectacularly when faced with slightly altered medical questions

Top AI models fail spectacularly when faced with slightly altered medical questions

Artificial intelligence systems often perform impressively on standardized medical exams—but new research suggests these test scores may be misleading. A study published in JAMA Network Open indicates that large language models, or LLMs, might not actually “reason” through clinical questions. Instead, they seem to rely heavily on recognizing familiar answer patterns. When those patterns were slightly altered, the models’ performance dropped sign…

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models

Biomedical named entity recognition (NER) is a high-utility natural language processing (NLP) task, and large language models (LLMs) show promise particularly in few-shot settings (i.e., limited training data). In this article, we address the performance challenges of LLMs for few-shot biomedical...

GPT-4 Excels on Medical Exams But Falters on Altered Questions

In the high-stakes world of healthcare, artificial intelligence has been hailed as a game-changer, acing standardized medical exams and promising to revolutionize diagnostics. But a recent investigation reveals a troubling vulnerability: even top-tier AI models crumble when confronted with minor tweaks to medical questions, exposing a superficial grasp of clinical knowledge that could have dire implications for patient care. Researchers at the U…

PsyPost: Top AI models fail spectacularly when faced with slightly altered medical questions | ResearchBuzz: Firehose

PsyPost: Top AI models fail spectacularly when faced with slightly altered medical questions. “A study published in JAMA Network Open indicates that large language models, or LLMs, might not actually ‘reason’ through clinical questions. Instead, they seem to rely heavily on recognizing familiar answer patterns. When those patterns were slightly altered, the models’ performance dropped significantly—sometimes by more than half.”The post PsyPost: …