Load the dataset. Train and test a model (typically, this would be a pre-trained model like BERT or RoBERTa). Add a classification layer after the encoder. Add a decoder for sequence generation or ...

Efficient encoder-decoder architecture for small language models (≤1B parameters) with cross-architecture knowledge distillation and vision-language capabilities - microsoft/encoder-decoder-slm ...

Our model adopts the encoder-decoder model. The encoder model improved the KBGAT model with a gate mechanism to control the attention mechanism and use entity embeddings to update relation embeddings.

We propose a new method for testing antenna arrays that records the radiating electromagnetic (EM) field using an absorbing material and evaluating the resulting thermal image series through an AI ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

Testing a decoder is then as simple as checking its output matches what our tools expected. Testing a VC-2 encoder, however, is less simple as the VC-2 specification gives these a greater degree ...