LLMs systematically under-request critical molecular and cytogenetic data in multi-round oncology, capping accuracy at 68% despite high knowledge scores and coherent reasoning traces.
Automating expert-level medical reasoning evaluation of large language models.NPJ Digit
1 Pith paper cite this work, alongside 9 external citations. Polarity classification is still indexing.
1
Pith paper citing it
9
external citations · OpenAlex
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Information-seeking failures of large language models in agentic clinical reasoning
LLMs systematically under-request critical molecular and cytogenetic data in multi-round oncology, capping accuracy at 68% despite high knowledge scores and coherent reasoning traces.