Jaemu Heo

RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals

Transformers have achieved great success in effectively processing sequential data such as text. Their architecture consisting of several attention and feedforward blocks can model relations between elements of a sequence in parallel manner, which makes them very efficient to train and effective in