Article

Emergence of Biological Structural Discovery in General-Purpose Language Models

2026-01-07

Abstract excerpt

<h4>ABSTRACT</h4> Large language models (LLMs) are evolving into engines for scientific discovery, yet the assumption that biological understanding requires domain-specific pre-training remains largely unchallenged. Here we report that general-purpose LLMs possess an emergent capability for biological structural discovery. Under strict, shortcut-controlled evaluation, a small-scale GPT-2 (124M) fine-tuned solely...

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Literature Corpus work: e5eae3d2-ceb0-5c40-89ff-aa2ce99e2f3f
DOI: 10.64898/2026.01.03.697478

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