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A Survey on Memory-Efficient Fine-Tuning for Large Language Models

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Published in:Transactions of the Association for Computational Linguistics
Format: Online Article RSS Article
Published: 2026
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container_title Transactions of the Association for Computational Linguistics
description
discipline_display Linguistics and Philology
discipline_facet Linguistics and Philology
format Online Article
RSS Article
genre Journal Article
id rss_article:93209
institution FRELIP
journal_source_facet Transactions of the Association for Computational Linguistics
last_indexed 2026-06-20T21:45:41.950Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Survey on Memory-Efficient Fine-Tuning for Large Language Models
Linguistics and Philology
General
Linguistics and Philology
sub_discipline_display General
sub_discipline_facet General
subject_display Linguistics and Philology
General
Linguistics and Philology
subject_facet Linguistics and Philology
General
Linguistics and Philology
title A Survey on Memory-Efficient Fine-Tuning for Large Language Models
title_alt Una encuesta sobre ajuste fino eficiente en memoria para modelos de lenguaje grandes
Enquête sur le fine-tuning efficace en mémoire pour les grands modèles de langage
Uma pesquisa sobre ajuste fino eficiente em memória para grandes modelos de linguagem
title_auth A Survey on Memory-Efficient Fine-Tuning for Large Language Models
title_es_txt Una encuesta sobre ajuste fino eficiente en memoria para modelos de lenguaje grandes
title_fr_txt Enquête sur le fine-tuning efficace en mémoire pour les grands modèles de langage
title_full A Survey on Memory-Efficient Fine-Tuning for Large Language Models
title_fullStr A Survey on Memory-Efficient Fine-Tuning for Large Language Models
title_full_unstemmed A Survey on Memory-Efficient Fine-Tuning for Large Language Models
title_pt_txt Uma pesquisa sobre ajuste fino eficiente em memória para grandes modelos de linguagem
title_short A Survey on Memory-Efficient Fine-Tuning for Large Language Models
title_sort a survey on memory-efficient fine-tuning for large language models
topic Linguistics and Philology
General
Linguistics and Philology
url https://direct.mit.edu/tacl/article/doi/10.1162/TACL.a.692/137203/A-Survey-on-Memory-Efficient-Fine-Tuning-for-Large