🧑‍🔬 Who cites Gregor Geigle

124 citations of their works from 124 papers of our library (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← Gregor Geigle

1. LoRA: Low-Rank Adaptation of Large Language ModelsarXiv:2106.09685Edward J. Hu, Yelong Shen, Phillip Wallis, et al.2021 · 8,661 citations
2. AdapterFusion: Non-Destructive Task Composition for Transfer LearningarXiv:2005.00247 · Proceedings of EACL 2021Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al.2020 · 958 citations
3. MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual TransferConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2020 · 839 citations
4. AdapterHub: A Framework for Adapting TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.2020 · 754 citations
5. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
6. On the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Ruidan He, Linlin Liu, Hai Ye, et al.2021 · 204 citations
7. Lifting the Curse of Multilinguality by Pre-training Modular TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 174 citations
8. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
9. What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
10. MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual TransferFindings of the Association for Computational LinguisticsAlan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, et al.2021 · 130 citations
11. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 122 citations
12. BLOOM+1: Adding Language Support to BLOOM for Zero-Shot PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.2023 · 102 citations
13. VeRA: Vector-based Random Matrix AdaptationarXiv:2310.11454Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano2023 · 99 citations
14. LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model DevelopmentAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Nicolas Garneau, Catalina Goanta, et al.2023 · 83 citations
15. FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Konstantin Dobler, Gerard de Melo2023 · 62 citations
16. AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-TuningTransactions of the Association for Computational Linguistics (TACL)Han Zhou, Xingchen Wan, Ivan Vulić, et al.2024 · 46 citations
17. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 citations
18. LoRA-drop: Efficient LoRA Parameter Pruning based on Output EvaluationInternational Conference on Computational Linguistics (COLING)Hongyun Zhou, Xiangyu Lu, Wang Xu, et al.2025 · 12 citations
19. Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language ModelInternational Conference on Computational Linguistics (COLING)Haoyun Xu, Runzhe Zhan, Yingpeng Ma, et al.2025 · 10 citations
20. Circuit Compositions: Exploring Modular Structures in Transformer-Based Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Philipp Mondorf, Sondre Wold, Barbara Plank2025 · 8 citations
21. 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
22. 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
23. POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen Xu, Liangyu Chen, Liang Zhang, et al.2026 · 2 citations
24. FormGym: Doing Paperwork with AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Matthew Toles, Isaac Song, Rattandeep Singh, et al.2026
25. Mind Your Special Tokens! On the Importance of Dedicated Sequence-End Tokens in Vision-Language Embedding ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Elio Musacchio, Giovanni Semeraro, Goran Glavaš2026
26. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
27. 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

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