Author

Feng Zhu

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Preprint Jul 2026

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking

AbICL is proposed, an ICL framework for antigen-specific antibody affinity ranking that combines a pretrained structural encoder with a context ranking head and is trained with an episodic meta-training strategy that enables the model to leverage support demonstrations for test-time adaptation without gradient updates.

Zhiyuan Chen, Jing Hu, Junzhe Wang et al. · 0 citations