![]() However, it fails to explore the relationships at a more granular level, i.e., the token level. ![]() The recent solution models the relationships between protein and associated knowledge terms as the knowledge encoding objective. Accordingly, pre-trained protein models also suffer from a problem in LMs: a lack of factual knowledge. Abstract: Protein representation learning has primarily benefited from the remarkable development of language models (LMs).
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