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Turning Domain Expertise into Multi-Dimensional Evaluation of Biomedical AI with Karenina

Created on 06 Sep 2026

Authors

Carli, F., Rusina, P., Ai, L., Kuechenhoff, L., To, P. K. P., McDonagh, E. M., Lobentanzer, S., Petroni, F., Dugourd, A., Ochoa, D., Saez-Rodriguez, J.

Abstract

Language models and agents are increasingly used in biomedicine, but current benchmarks reward correct answers even when the underlying reasoning is flawed. Here we introduce Karenina, an open-source framework that turns expert knowledge into multi-dimensional evaluations of questions, conversations and autonomous agents. Illustrated in Question-Answer pairs, multi-turn conversations and autonomous data-analysis, these dimensions together moves evaluation beyond scoring, enabling trustworthy decision-making with AI in biomedicine.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 06 Sep 2026.

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