LoRA: Low-Rank Adaptation of Large Language Models
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- No authorship claim recorded yet. The source records list arXiv, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Li Shean Wang and Weizhu Chen.
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- No date claim recorded yet. The source records give the publication date as 2021-06-17.
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- LoRA: Low-Rank Adaptation of Large Language Models arXiv · published 2021-06-17 · arXiv abstract page, retrieved for the candidate pack on 2026-10-28 (SHA-256 28e812d222471627a53bab985f271e179ac1086d2b4d2afbe4685b0aca36b208). Submission history as arXiv records it (UTC): v1 17 June 2021; v2 16 October 2021. The page serves the latest version; each version is a separate expression, and only the one a record names was read.
- LoRA: Low-Rank Adaptation of Large Language Models arXiv · published 2021-06-17 · arXiv:2106.09685v1, submitted 17 June 2021 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 38a259c1926b724363fcfbd8e5f80fcadf0dd8d9ab6944fea8c00e74fd7590b0). The author list is the byline as printed on the first page.
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- Qwen Technical ReportQwen Technical Report cites LoRA: Low-Rank Adaptation of Large Language Models.2023-09-28 · publication · Stated in source · Supported Inspect claim & evidence ↗Qwen Technical Report: document page →
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionWeak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision cites LoRA: Low-Rank Adaptation of Large Language Models.2023-12-14 · publication · Stated in source · Supported Inspect claim & evidence ↗Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision: document page →
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