AI RESEARCH
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
arXiv CS.AI
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ArXi:2512.00283v3 Announce Type: replace-cross Foundation models have revolutionized various fields such as natural language processing (NLP) and computer vision (CV). While efforts have been made to transfer the success of the foundation models in general AI domains to biology, existing works focus on directly adopting the existing foundation model architectures from general machine learning domains without a systematic design considering the unique physicochemical and structural properties of each biological data modality.