January 01, 2025 article Open access Make Large Language Models Efficient: A Review IEEE Access DOI: 10.1109/access.2025.3605110 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 5 References 2 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 ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 2 patents 31 citations 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 2 results