Author

S. K. Tsui

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Open access Aug 2026

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

This work evaluates ICL across 20 large language models on three antibody tasks: species-origin, antibody specificity, and isotype class classification, and introduces a sequence similarity-based strategy for ICL in antibody sequence classification, Sim-ICL.

Sin-Hang Fung, Zheng-Hao Zhang, Ran Wang et al. · Genome Biology · 0 citations