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Many new Transformer architecture improvements have been proposed since my last post on “The Transformer Family” about three years ago. Here I did a big refactoring and enrichment of that 2020 post — restructure the hierarchy of sections and improve many sections with more recent papers. Version 2.0 is a superset of the old version, about twice the length. Notations Symbol Meaning $d$ The model size / hidden state dimension / positional encoding size.

Mostafa dehghaniOlah carterEmilio parisottoSainbayar sukhbaatarAlex gravesLongformer beltagyNiki parmarAshish vaswaniNikita kitaevZihang daiLinformer wangRahimi rechtAidann gomezAdaptive computation time for recurrent neural networksA surveyRecurrent neural networks