decoderbased
Decoder-based refers to a type of neural network architecture commonly used in sequence-to-sequence models, particularly in natural language processing tasks. In this architecture, the decoder is responsible for generating the output sequence based on the encoded input sequence. The decoder operates in an autoregressive manner, meaning it generates one element of the output sequence at a time, using the previously generated elements as additional input.
The decoder typically consists of multiple layers of recurrent neural networks (RNNs), long short-term memory networks
Decoder-based architectures have been successfully applied to a wide range of tasks, including machine translation, text