Article

A systematic evaluation of in-context learning in large language models for antibody characterization

2026-08-13

Abstract excerpt

Abstract Large language models can learn new tasks through in-context learning (ICL), yet this ability remains underexplored for biological sequence classification. We evaluate ICL across 20 large language models on three antibody tasks: species-origin, antibody specificity, and isotype class classification. Few-shot prompting improves over zero-shot performance, but matching the performance of protein language mo...

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Literature Corpus work: 6bf32b32-59ed-58cf-bb5e-88070ee91082
DOI: 10.1186/s13059-026-04240-6

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