Article

Generalist large language models complement tailor-made predictors for tumor genomics interpretation

2026-05-22

Abstract excerpt

General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge, but whether LLMs can replace, or augment, task-specific models is unclear. We evaluated LLMs on three real-world, clinically important tumor genomic interpretation tasks, in order of increasing difficulty: (i) distinguishing tumor from non-tumor mutations (n=34,415 variants), (ii) distinguishing driver from passen...

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Literature Corpus work: db3013b0-092c-5c3f-a899-3dfe12eab799
DOI: 10.64898/2026.05.21.726957

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