🔗 Who cites «Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning»

61 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning»

1. A Survey on Large Language Models for Code GenerationarXiv:2406.00515Juyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
2. Adapting Language Models to Compress ContextsConference on Empirical Methods in Natural Language Processing (EMNLP)Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 179 citations
3. ReLoRA: High-Rank Training Through Low-Rank UpdatesarXiv:2307.05695Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, et al.2023 · 74 citations
4. Exploring Data and Parameter Efficient Strategies for Arabic Dialect IdentificationsarXiv:2509.13775Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi2025 · 1 citation
5. 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

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

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