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How Much Data is Enough Data? Fine-Tuning Large Language Models for
  In-House Translation: Performance Evaluation Across Multiple Dataset Sizes

How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes

5 September 2024
Inacio Vieira
Will Allred
Séamus Lankford
Sheila Castilho
Andy Way
ArXivPDFHTML

Papers citing "How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes"

2 / 2 papers shown
Title
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
46
0
0
01 May 2025
Steering Large Language Models for Machine Translation with Finetuning
  and In-Context Learning
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning
Duarte M. Alves
Nuno M. Guerreiro
Joao Alves
José P. Pombal
Ricardo Rei
José G. C. de Souza
Pierre Colombo
André F.T. Martins
47
49
0
20 Oct 2023
1