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Frequency-Stratified Benchmarking Reveals Strong Long-Tail Limitations of Large Language Models in Diagnosis of Monogenic Diseases

2026-06-29

Abstract excerpt

<title>Abstract</title> <p>Knowledge of monogenic disorders is long-tailed: a small number of canonical disease genes are extensively represented in the literature, whereas many rare, recently characterized genes remain sparsely reported. What remains less clearly characterized is how this uneven knowledge structure affects the diagnostic behavior of large language models (LLMs). Here we present MendelianBench-5K...

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Literature Corpus work
bd1f4264-dede-5dc7-96c3-75f295b170da
DOI
10.21203/rs.3.rs-10158732/v1
Open publication

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Frequency-Stratified Benchmarking Reveals Strong Long-Tail Limitations of Large Language Models in Diagnosis of Monogenic DiseasesDOI 10.21203/rs.3.rs-10158732/v1
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