Puneet Agarwal

NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages

In this work, we argue that not all sequence-to-sequence tasks require the strong inductive biases of autoregressive (AR) models. Tasks like multilingual transliteration, code refactoring, grammatical correction or text normalization often rely on local dependencies where the full modeling capacity