What is recorded here?
Introduced LoRA, freezing pretrained weights while learning injected low-rank update matrices, and reported parameter, memory, throughput and task-quality comparisons on the studied models.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the exact eight-author ICLR 2022 paper. Its efficiency and quality results are architecture-, rank-, task- and baseline-specific; later LoRA variants, quantization combinations and universal superiority claims remain separate.
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People and systems
Edward J. Hu; Yelong Shen; Phillip Wallis; Zeyuan Allen-Zhu; Yuanzhi Li; Shean Wang; Lu Wang; Weizhu Chen
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
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English catalogue narrative
Hu and colleagues: low-rank adaptation of large language models
Introduced LoRA, freezing pretrained weights while learning injected low-rank update matrices, and reported parameter, memory, throughput and task-quality comparisons on the studied models.
Scientific scope
The record is the exact eight-author ICLR 2022 paper. Its efficiency and quality results are architecture-, rank-, task- and baseline-specific; later LoRA variants, quantization combinations and universal superiority claims remain separate.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Edward J. Hu; Yelong Shen; Phillip Wallis; Zeyuan Allen-Zhu; Yuanzhi Li; Shean Wang; Lu Wang; Weizhu Chen
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.