Implicit Attention

Key Points

• The aim is to refine and align semantics in transformer models through a novel attention mechanism.
• Introduced a systematic joint learning approach for query, key, and value embeddings.
• Utilized an implicit deep learning model hierarchy to enhance attention mechanisms.
• Demonstrated improved alignment of semantics in embeddings.
• Showed that the proposed model enhances the effectiveness of transformer attention.