research
∙
11/16/2022
Prompting PaLM for Translation: Assessing Strategies and Performance
Large language models (LLMs) that have been trained on multilingual but ...
share
research
∙
12/06/2021
Scaling Up Influence Functions
We address efficient calculation of influence functions for tracking pre...
research
∙
10/13/2021
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
Training data for machine translation (MT) is often sourced from a multi...
research
∙
08/11/2020
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
We present Sockeye 2, a modernized and streamlined version of the Sockey...
research
∙
04/18/2018
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
The end-to-end nature of neural machine translation (NMT) removes many w...
research
∙
12/15/2017
