GitHub

Transformer Encoder-Decoder Model — C++ Implementation

This repository contains an implementation of the Transformer Encoder-Decoder model from scratch in C++. The objective is to build a sequence-to-sequence model that leverages pre-trained word ...
GitHub

understanding-of-LLM-Encoder-and-decoder-model-

An Encoder-Decoder model is a fundamental architecture in the field of deep learning and natural language processing (NLP). It's widely used for a variety of tasks, including machine translation, text ...
Slator

A Primer on Decoder-Only vs Encoder-Decoder Models for AI Translation

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...
IEEE

Encoder–Decoder Calibration for Multimodal Machine Translation

Abstract: The main purpose of multimodal machine translation (MMT) is to improve the quality of translation results by taking the corresponding visual context as an additional input. Recently many ...