3 citations · 8 across the 4 of their papers we have counts for
4 papers
The Uneven Impact of Post-Training Quantization in Machine Translation
Benjamin Marie, Atsushi Fujita
Quantization is essential for deploying large language models (LLMs) on resource-constrained hardware, but its implications for multilingual tasks remain underexplored. We conduct…
An Automatic Evaluation of the WMT22 General Machine Translation Task
Benjamin Marie
This report presents an automatic evaluation of the general machine translation task of the Seventh Conference on Machine Translation (WMT22). It evaluates a total of 185 systems f…
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
Benjamin Marie, Atsushi Fujita, Raphael Rubino
This paper presents the first large-scale meta-evaluation of machine translation (MT). We annotated MT evaluations conducted in 769 research papers published from 2010 to 2020. Our…
Synthesizing Monolingual Data for Neural Machine Translation
Benjamin Marie, Atsushi Fujita
In neural machine translation (NMT), monolingual data in the target language are usually exploited through a method so-called "back-translation" to synthesize additional training p…