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

A script, which describes the evolutionary path of events, is a structured event sequence. Script event prediction aims to predict the next event from a sequence of historical events. Current studies ...

The original transformer architecture consists of two main components: an encoder and a decoder. The encoder processes the input sequence and generates a contextualized representation, which is then ...

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 ...

Predicting Alzheimer's Disease Progression Using a Versatile Sequence-Length-Adaptive Encoder-Decoder LSTM Architecture Detecting Alzheimer's disease (AD) accurately at an early stage is critical for ...

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

The encoder processes the entire input sequence, creating a set of representations that include contextual information from the entire sequence. The decoder then generates the output sequence one ...