Chenyang Hong

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.