🔗 Who cites «LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning»

47 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning»

1. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
2. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
3. LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionarXiv:2307.13269Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.2023 · 108 citations
4. VeRA: Vector-based Random Matrix AdaptationarXiv:2310.11454Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano2023 · 99 citations
5. RoCoFT: Efficient Finetuning of Large Language Models with Row-Column UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, et al.2025 · 5 citations
6. Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource LanguagesFindings of the Association for Computational LinguisticsYang Xiao, Eun-Jung Holden, Ting Dang2026
7. DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-TuningFindings of the Association for Computational LinguisticsChangjun Park, Sejong Yoon, Jaekwang Kim2026
8. LeLoRA: Learnable Low-Rank Adaptation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.2026
9. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026

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

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