🔗 Who cites «LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation»

1. 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
2. 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
3. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
4. WeightLoRA: Keep Only Necessary AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.2026

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

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