---
title: "Who cites Exploring Versatile Generative — 54 citing papers"
description: "54 papers of the Elamur Research library cite «Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning»…"
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# Who cites «Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning»

54 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning»](https://md.research.elamur.ai/free/en/papers/lin-2020-exploring-versatile-generative-language-model/)

1. [**LoRA: Low-Rank Adaptation of Large Language Models arXiv:2106.09685**Edward J. Hu, Yelong Shen, Phillip Wallis, et al.*2021 · 8,473 citations*](https://md.research.elamur.ai/free/en/papers/hu-2021-lora-low-rank-adaptation-large/) **[MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.*2020 · 240 citations* **[Sustainable Modular Debiasing of Language Models](https://md.research.elamur.ai/free/en/papers/lauscher-2021-sustainable-modular-debiasing-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Anne Lauscher, Tobias Lueken, Goran Glavaš*2021 · 165 citations* [**VeRA: Vector-based Random Matrix Adaptation arXiv:2310.11454**Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano*2023 · 97 citations*](https://md.research.elamur.ai/free/en/papers/kopiczko-2023-vera-vector-based-random-matrix/) [**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*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lin-2020-exploring-versatile-generative-language-model/) — Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning