184 citations · 185 across the 3 of their papers we have counts for
3 papers
cs.CL2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding
Bowen Liang, Pidong Wang, Yuan Cao
Label smoothing is ubiquitously applied in Neural Machine Translation (NMT) training. While label smoothing offers a desired regularization effect during model training, in this pa…
cs.CL2021★ 1 cited
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics
Markus Freitag, David Grangier, Qijun Tan +1
In Neural Machine Translation, it is typically assumed that the sentence with the highest estimated probability should also be the translation with the highest quality as measured…
cs.LG2019★ 184 cited
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu +88
Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…