🔗 Who cites «LoRA+: Efficient Low Rank Adaptation of Large Models»

80 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «LoRA+: Efficient Low Rank Adaptation of Large Models»

1. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
2. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
3. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
4. AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLPFindings of the Association for Computational LinguisticsAhmed Abul Hasanaath, Aisha Alansari, Ahmed Ashraf, et al.2025 · 8 citations
5. Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinman Zhao, Xueyan Zhang, Jiaru Li, et al.2025 · 8 citations
6. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
7. Why Steering Works: Toward a Unified View of Language Model Parameter DynamicsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Chenyan WU, Hengyu Sun, et al.2026 · 1 citation
8. 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
9. ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Hangyeol Yoo, ChangSu Choi, Minjun Kim, et al.2026
10. Hebbian-Guided Bi-Directional Rank Adaptation for Parameter-Efficient Fine-TuningFindings of the Association for Computational LinguisticsXing Zhao, Liu Yang, Xi-Le Zhao, et al.2026
11. 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
12. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
13. Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-TuningFindings of the Association for Computational LinguisticsGanghao Liu, Qin Zhou, Zhe Wang, et al.2026
14. Ultra-Low-Dimensional Prompt Tuning via Random ProjectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Zijun Wu, Yongchang Hao, Lili Mou2026

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

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