2 papers
cs.CL2021
Can Latent Alignments Improve Autoregressive Machine Translation?
Adi Haviv, Lior Vassertail, Omer Levy
Latent alignment objectives such as CTC and AXE significantly improve non-autoregressive machine translation models. Can they improve autoregressive models as well? We explore the…
cs.CL2021
BERTese: Learning to Speak to BERT
Adi Haviv, Jonathan Berant, Amir Globerson
Large pre-trained language models have been shown to encode large amounts of world and commonsense knowledge in their parameters, leading to substantial interest in methods for ext…