But not all transformer applications require both the encoder and decoder module. For example, the GPT family of large language models uses stacks of decoder modules to generate text.

Figure 1: (a) In the architecture Encoder-Decoder, the input sequence is first encoded into a state vector, which is then used to decode the output sequence (b) A transformer layer, encoder and ...

global_information_extractor: This model is trained using a transformer encoder and decoder architecture, based on the configuration specified in Donut, to extract the overall summary of block diagram ...

In order to invert the resizing used to train the idea model, an encoder/decoder transformer can be trained. ... Concretely, in the diagram above, the expanded melspectrogram is 2048 columns long ...

Most existing works on trajectory recovery follow a sequence-to-sequence diagram, with an encoder to encode a trajectory and a decoder to recover real GPS points in the trajectory. However, these ...