🔗 Who cites «MerA: Merging Pretrained Adapters For Few-Shot Learning»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «MerA: Merging Pretrained Adapters For Few-Shot Learning»

1. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
2. PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language ModelsarXiv:2404.02948Fanxu Meng, Zhaohui Wang, Muhan Zhang2024 · 86 citations
3. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
4. 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
5. Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yitong Wang, Xue Han, WenChun Gao, et al.2026

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

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