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Narrowing the Gap between Zero- and Few-shot Machine Translation by
  Matching Styles

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles

4 November 2023
Weiting Tan
Haoran Xu
Lingfeng Shen
Shuyue Stella Li
Kenton W. Murray
Philipp Koehn
Benjamin Van Durme
Yunmo Chen
ArXivPDFHTML

Papers citing "Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles"

4 / 4 papers shown
Title
Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation
Bryan Li
Jiaming Luo
Eleftheria Briakou
Colin Cherry
49
0
0
06 Mar 2025
A Paradigm Shift in Machine Translation: Boosting Translation
  Performance of Large Language Models
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
Haoran Xu
Young Jin Kim
Amr Sharaf
Hany Awadalla
41
61
0
20 Sep 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
425
12,150
0
04 Mar 2022
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
227
1,211
0
12 Jun 2017
1