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This framework consists of 3 major components, which are the base PLM, pretrained knowledge-specific adapters, and the knowledge controller (CTRL) that adaptively activates the adapters, as illustrated in Figure 2. Generally, when pretraining a knowledge adapter, the parameters of the base PLM are frozen, and only the adapter is optimized. In this way, we inject specific knowledge into an adapter.
JMIR AI 2024;3:e56932
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