In the realm of advanced natural language processing (NLP) architectures, the Push-Pull Transformer stands out as a cutting-edge innovation. Born from the fusion of traditional Transformers and novel information exchange mechanisms, this hybrid model breaks away from conventional self-attention paradigms. The core idea is to introduce a push operation that actively shares context-rich representations between encoder and decoder, while a pull mechanism retrieves selective information for improved efficiency.
