Medical decision models stay consistent but struggle to abstain reliably

Across 15 medical datasets, Jev was robust to question-format changes but weak on numerical tasks and unreliable at recognizing when no valid answer was available.

Chinese Tech
Yanrui Du · Danyang Zhao · Sendong Zhao · Wenhao Li · Yibo Gao · Haochun Wang · +3 more

Harbin Institute of Technology · Ant Group

Research Digest··2 min read
Du and colleagues compared 21 models on 8,742 medical examples using a system-one protocol, meaning models answered directly without producing reasoning traces.

The authors evaluated Jev, nine configurations of Jev-like models, and 11 general-purpose or medical large language models across 15 datasets and four medical task families.

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Research Digest

Written by Alwyn Sage, research editor. Plate by Ollie Flash, picture desk.

first published 19 Oct, 7:39 am
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