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Kewen Tang

1 accepted papers

2021

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining

ICML 2021spotlight

In this paper, we propose BANG, a new pretraining model to Bridge the gap between Autoregressive (AR) and Non-autoregressive (NAR) Generation. AR and NAR generation can be uniformly regarded as to what extent previous tokens can be attended, and BANG bridges AR and NAR generation through designing a…