William D. Perez

Alignment-Free Distillation for Non-Autoregressive Translation in Sparse Language Pairs

The rapid advancement of neural machine translation has historically relied heavily on autoregressive models, which generate target sequences token by token. While autoregressive models achieve remarkable translation quality, their sequential decoding nature inherently limits inference speed. Non-autoregressive transla...