150 citations · 155 across the 6 of their papers we have counts for
7 papers
On-the-Fly Fusion of Large Language Models and Machine Translation
Hieu Hoang, Huda Khayrallah, Marcin Junczys-Dowmunt
We propose the on-the-fly ensembling of a machine translation model with an LLM, prompted on the same task and input. We perform experiments on 4 language pairs (both directions) w…
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Viet-Khoa Vo-Ho, Kashu Yamazaki, Hieu Hoang +2
Deep learning methods have been successful in solving tasks in machine learning and have made breakthroughs in many sectors owing to their ability to automatically extract features…
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing
Mao V. Ngo, Tie Luo, Hieu T. Hoang +1
Offloading computationally intensive tasks from mobile users (MUs) to a virtualized environment such as containers on a nearby edge server, can significantly reduce processing time…
Marian: Cost-effective High-Quality Neural Machine Translation in C++
Marcin Junczys-Dowmunt, Kenneth Heafield, Hieu Hoang +2
This paper describes the submissions of the "Marian" team to the WNMT 2018 shared task. We investigate combinations of teacher-student training, low-precision matrix products, auto…
Marian: Fast Neural Machine Translation in C++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak +9
We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Mar…
Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions
Marcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoang
In this paper we provide the largest published comparison of translation quality for phrase-based SMT and neural machine translation across 30 translation directions. For ten direc…
Fast, Scalable Phrase-Based SMT Decoding
Hieu Hoang, Nikolay Bogoychev, Lane Schwartz +1
The utilization of statistical machine translation (SMT) has grown enormously over the last decade, many using open-source software developed by the NLP community. As commercial us…