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Clinician use of language models diverges from how the models are evaluated
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Analysis of 127,833 clinical queries demonstrates that LLM benchmark evaluations diverge significantly from actual workplace usage.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 9 October 2026
- Collected by OneBench
- 10 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.11069v1 Announce Type: new Abstract: Large language model (LLM) assistants are being deployed to clinicians across health systems, and judgments about their readiness rest largely…
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