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In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models

In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models

Suzanna Sia
Kevin Duh
    LRM
ArXiv (abs)PDFHTML

Papers citing "In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models"

4 / 4 papers shown
Title
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
Baban Gain
Dibyanayan Bandyopadhyay
Asif Ekbal
LM&MA
94
2
0
02 Apr 2025
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Fengyu Gao
Ruida Zhou
T. Wang
Cong Shen
Jing Yang
87
3
0
15 Oct 2024
Optimizing example selection for retrieval-augmented machine translation with translation memories
Optimizing example selection for retrieval-augmented machine translation with translation memories
Maxime Bouthors
Josep Crego
Franccois Yvon
145
0
0
23 May 2024
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
362
3,749
0
28 Feb 2017

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