🔗 Who cites «ReLoRA: High-Rank Training Through Low-Rank Updates»

64 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «ReLoRA: High-Rank Training Through Low-Rank Updates»

1. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 128 citations
2. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026

62 more papers of our library cite it; they have no page here yet.

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