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Who cites «The Power of Scale for Parameter-Efficient Prompt Tuning»

1,372 papers of our library cite it (of the 149,439 whose bibliographies we read) · 266 with a page here, the most cited first · page 3 of 3 · 201–266 · ← back to «The Power of Scale for Parameter-Efficient Prompt Tuning»

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  1. Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHFarXiv:2309.09055Simeng Sun, Dhawal Gupta, Mohit Iyyer2023 · 9 citations
  2. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi He, Yihao Liu, Mengyu Zhou, et al.2025 · 8 citations
  3. 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
  4. Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based ModelsArabic Natural Language Processing Workshop (WANLP)Reem Abdel-Salam2022 · 8 citations
  5. 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
  6. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
  7. Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sandesh Swamy, Narges Tabari, Chacha Chen, et al.2023 · 6 citations
  8. HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing PerformanceFindings of the Association for Computational LinguisticsHao Zhang, Zhenjia Li, Yifan Gao, et al.2026 · 5 citations
  9. 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
  10. Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm DetectionConference on Computational Natural Language Learning (CoNLL)Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam2024 · 5 citations
  11. A Multi-Task Benchmark for Abusive Language Detection in Low-Resource SettingsConference on Neural Information Processing Systems (NeurIPS)Fitsum Gaim, Hoyun Song, Huije Lee, et al.2025 · 3 citations
  12. Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding LayersarXiv:2503.02851Zicong He; Boxuan Zhang;, Lu Cheng2025 · 3 citations
  13. rematchka at ArAIEval Shared Task: Prefix-Tuning & Prompt-tuning for Improved Detection of Propaganda and Disinformation in Arabic Social Media ContentArabic Natural Language Processing Conference (ArabicNLP)Reem Abdel-Salam2023 · 3 citations
  14. promptolution: A Unified, Modular Framework for Prompt OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tom Zehle, Timo Heiß, Moritz Schlager, et al.2026 · 2 citations
  15. A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language ModelsFindings of the Association for Computational LinguisticsSoham Petkar, Hari Aakash K, Anirudh Vempati, et al.2026 · 1 citation
  16. Concept Tokens: Learning Behavioral Embeddings Through Concept DefinitionsFindings of the Association for Computational LinguisticsIgnacio Sastre, Aiala Rosá2026 · 1 citation
  17. Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive RoutingFindings of the Association for Computational LinguisticsChunyu Ye, Yunhao Zhang, Jingyuan Sun, et al.2026 · 1 citation
  18. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
  19. PersonalityDBench: A Dataset for Personality Disorders - from Modeling to Controlled GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Federico Ravenda, Seyed Ali Bahrainian, Daniele Montagnani, et al.2026 · 1 citation
  20. Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order InteractionsFindings of the Association for Computational LinguisticsWenhao Zhang, Lin Mu, Li Ni, et al.2026 · 1 citation
  21. 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
  22. PromptLab: A Collaborative Platform for Prompt Engineering and Dataset CurationConference of the European Chapter of the Association for Computational Linguistics (EACL)Maged S. Al-shaibani, Zaid Alyafeai, Dania Refai, et al.2026 · 1 citation
  23. ProxyPrompt: Securing System Prompts against Prompt Extraction AttacksFindings of the Association for Computational LinguisticsZhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, et al.2026 · 1 citation
  24. RoZO: Geometry-Aware Zeroth-Order Fine-Tuning on Low-Rank Adapters for Black-Box Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zichen Song, Weijia Li2026 · 1 citation
  25. Exploring Data and Parameter Efficient Strategies for Arabic Dialect IdentificationsarXiv:2509.13775Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi2025 · 1 citation
  26. 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
  27. Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language ModelsFindings of the Association for Computational LinguisticsXudong Wang, Chaoning Zhang, Chenghao Li, et al.2026
  28. Anchored Sliding Window: Toward Robust and Imperceptible Linguistic SteganographyAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiyi Yan, Shiao Meng, Yugo Murawaki2026
  29. Beyond Task-Level Context: Class-Conditional Context Vectors for Implicit In-Context LearningFindings of the Association for Computational LinguisticsJianxin Zhang, Yilu Hu, Teng Liu, et al.2026
  30. BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsFuda Ye, Jiachuan Wang, Yongqi Zhang, et al.2026
  31. CAP: Controllable Alignment Prompting for Unlearning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaokun Wang, Jinyu Guo, Jingwen Pu, et al.2026
  32. Compositional Steering of Large Language Models with Steering TokensAnnual Meeting of the Association for Computational Linguistics (ACL)Gorjan Radevski, Kiril Gashteovski, Giwon Hong, et al.2026
  33. Context-Conditioned Masked LoRA: Dynamic Rank Routing for Compute-Efficient Parameter-Efficient Fine-TuningFindings of the Association for Computational LinguisticsRifat Rafiuddin, Rafae Abdullah2026
  34. 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
  35. Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMsInternational Conference on Computational Processing of PortugueseMariela M. Nina, Caio Veloso Costa, Lilian Berton, et al.2026
  36. FedReFT: Federated Representation Fine-Tuning with All-But-Me AggregationFindings of the Association for Computational LinguisticsFatema Siddika, Md Anwar Hossen, Juan Pablo Munoz, et al.2026
  37. Frozen LLMs are Native Decoders for High-Norm Semantic VectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunsheng Zeng, Yongmei Tan2026
  38. G-LoRA: Global-Local Decoupled Low-Rank AdaptationFindings of the Association for Computational LinguisticsJiahao Xiong, Yihong Huang, Yihe Liu, et al.2026
  39. GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuningFindings of the Association for Computational LinguisticsKaiyuan Tian, Linbo Qiao, Yu Tang, et al.2026
  40. 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
  41. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
  42. Index-Time Prefix Injection for Multi-Tenant Retrieval: Improving Search Relevance Without Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Varshney, Manjunatha Naik Mc2026
  43. Label Words as Local Task Vectors in In-Context LearningFindings of the Association for Computational LinguisticsBowen Zheng, Ming Ma, Zhongqiao Lin, et al.2026
  44. LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.2026
  45. 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
  46. Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Xingle Xu, Ercong Nie, et al.2026
  47. MaskedVerbalizer: Automatic Verbalizer Construction for Few-Shot Text Classification in Low-Resource Right-to-Left LanguagesLanguage Resources and Evaluation Conference (LREC)Faizad Ullah, Furqan Sikandar, Areeba Waqar, et al.2026
  48. MaskLoRA: Low-Rank Subspace–Induced Token Masking for Efficient and Faithful Language ModelsFindings of the Association for Computational LinguisticsRifat Rafiuddin2026
  49. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
  50. Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output SpaceWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraTobias Materzok2026
  51. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
  52. Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment AnalysisLanguage Resources and Evaluation Conference (LREC)Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.2026
  53. RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language ModelsFindings of the Association for Computational LinguisticsArya Hadizadeh Moghaddam, Drew Ross, Mohsen Nayebi Kerdabadi, et al.2026
  54. Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model BehaviorTransactions of the Association for Computational Linguistics (TACL)Rahul Nadkarni, Yanai Elazar, Hila Gonen, et al.2026
  55. Safe-FedLLM: Delving into the Safety of Federated Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.2026
  56. 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
  57. Shuttle Between Symbolic Instructions and Neural Parameters of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wangtao Sun, Haotian Xu, Huanxuan Liao, et al.2026
  58. 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
  59. Soft Head Selection for Injecting ICL-Derived Task EmbeddingsFindings of the Association for Computational LinguisticsJungwon Park, Jimyeong Kim, Changin Choi, et al.2026
  60. 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
  61. Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual TransformersWorkshop on Speech, Vision, and Language Technologies for Dravidian LanguagesSamonwita Sarker, Isnat Mehrin Sami, Priyontee Mojumder, et al.2026
  62. SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced NormalizationWorkshop on Trustworthy NLPNoor Islam S. Mohammad, Ulug Bayazit2026
  63. 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
  64. We Are What We Repeatedly Do: Improving Long Context Instruction FollowingFindings of the Association for Computational LinguisticsPreston K Robinette, Andrew Hard, Swaroop Ramaswamy, et al.2026
  65. Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language ModelsFindings of the Association for Computational LinguisticsHoang-Chau Luong, Lingwei Chen2026
  66. An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究)Acta Automatica Sinica (自动化学报)Zhengfei Xu (徐正斐), Xin Xin (辛欣)2025

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