ELTbased
ELTbased refers to a class of machine learning models that leverage the Transformer architecture, specifically the Encoder-Decoder (Enc-Dec) structure, for natural language processing tasks. These models, like T5 and BART, build upon the foundational principles of the original Transformer while introducing modifications or pre-training objectives designed to enhance their performance and versatility.
The core concept of an Encoder-Decoder architecture involves two main components. The encoder processes the input
ELTbased models often undergo extensive pre-training on large text corpora using self-supervised learning objectives. These objectives
The "ELT" in ELTbased can be interpreted as a nod to the evolution and extension of the