A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Transformer structure, stacked by a sequence of encoder and decoder network layers, achieves significant development in neural machine translation. However, vanilla Transformer mainly exploits the top ...

Researchers find Transformer models can learn implicit reasoning through "grokking" - but not for all types of reasoning. They also show how this might change with some changes in the architecture.

This architecture is common in both RNN-based and transformer-based models. Attention mechanisms, especially in transformer models, have significantly enhanced the performance of encoder-decoder ...

Our approach employs a layered Swin Transformer with a shifted window mechanism as an encoder to extract contextual features. A decoder based on a symmetric Swin Transformer is employed for upsampling ...