January 01, 2026 article Open access A Survey on Memory-Efficient Fine-Tuning for Large Language Models Transactions of the Association for Computational Linguistics DOI: 10.1162/tacl.a.692 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter 2024 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access 6 citations 1 result