🔗 Who cites «PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models»

79 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← back to «PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language 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. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
3. BeamLoRA: Beam-Constraint Low-Rank AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Naibin Gu, Zhenyu Zhang, Xiyu Liu, et al.2025 · 6 citations
4. PRISP: Privacy-Safe Few-Shot Personalization via Lightweight AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Junho Park, Dohoon Kim, Taesup Moon2026 · 1 citation
5. Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization DetectionInternational Workshop on Semantic Evaluation (SemEval)Minh Smith, Cheryl Seals2026 · 1 citation
6. 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
7. Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Hyowon Wi, Noseong Park2026
8. G-LoRA: Global-Local Decoupled Low-Rank AdaptationFindings of the Association for Computational LinguisticsJiahao Xiong, Yihong Huang, Yihe Liu, et al.2026
9. 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
10. HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DSTFindings of the Association for Computational LinguisticsShuyu Zhang, Yifan Wei, Xinru Wang, et al.2026
11. Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Dianyun Wang, Qingsen Ma, Yuhu Shang, et al.2026
12. 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
13. Localized Low-Rank Adaptation within Clustered Parameter SubspacesAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Xiong, Yihe Liu, Xianming Hu, et al.2026
14. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
15. Representation-Guided Parameter-Efficient LLM UnlearningFindings of the Association for Computational LinguisticsZeguan Xiao, Lang Mo, Yun Chen, et al.2026
16. SDC-LoRA: Singular-Subspace Drift Controlled LoRA to Mitigate Knowledge ForgettingFindings of the Association for Computational LinguisticsGeyuan Zhang, Xiaofei Zhou, Shihao Liu, et al.2026
17. SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Lina Yang, Yusheng Liao, Yanfeng Wang, et al.2026
18. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Siyu Zhao2026
19. Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language ModelsFindings of the Association for Computational LinguisticsHoang-Chau Luong, Lingwei Chen2026

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