Cross-Attention Mechanism in Transformers English version | 简体中文 Introduction Cross-attention mechanism is a key part of the Transformer model. It allows the decoder to access and use relevant information from the encoder. This helps the model focus on important details, ensuring tasks like translation are accurate.