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Information-seeking failures of large language models in agentic clinical reasoning

arXiv cs.AI · 2026-07-14 Cached

The paper develops an agentic evaluation framework for clinical reasoning in hematologic oncology, finding that LLMs primarily fail due to systematic information-seeking deficits rather than insufficient knowledge, with error patterns resembling cognitive biases in novice clinicians.

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