Low-rank adaptation (LoRA)

area: Machine learning · 0 papers in the last 7 days

W = W_0 + B A,\quad B \in \mathbb{R}^{d \times r},\ A \in \mathbb{R}^{r \times k},\ r \ll \min(d, k)

Fine-tunes a large model by learning a small low-rank update to its weights.

LaTeX: W = W_0 + B A,\quad B \in \mathbb{R}^{d \times r},\ A \in \mathbb{R}^{r \times k},\ r \ll \min(d, k)

Names searched for: low-rank adaptation, LoRA

Key findings

Low-rank adaptation (LoRA) was mentioned in 14 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #55 of the 104 equations and models mentioned.
By journal category: AI (13) and Management (1).
Most of them appeared in Expert Systems with Applications (3), Pattern Recognition (2) and Information Processing & Management (2).
Often mentioned together with Scaled dot-product attention (Transformer) (7), Convolutional neural network (CNN) (4) and Long short-term memory (LSTM) (3).
Datasets named in the same papers: ImageNet (3), Wikipedia (2) and BraTS (2).
From Apr 2024 to Sep 2026, 73 archived papers mentioned Low-rank adaptation (LoRA) in their title, abstract or keywords, most of them in Jan 2026 (10).

Mentions over 30 months

Papers mentioning it by publication month, Apr 2024 to Sep 2026 (titles, abstracts and keywords)
Trend	Apr 24–Sep 24	Oct 24–Sep 25	Oct 25–Sep 26	30 months
	5	37	31	73

Papers mentioning Low-rank adaptation (LoRA), newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-17	Dual-space optimization for multi-LoRA fusion: Mitigating parameter conflicts in both parameter and fusion-weight space	Knowledge-Based Systems	Yanghui Huang, Donglin Cao, Dazhen Lin
2026-10-17	Language modeling on tabular data: a survey of foundations, techniques and evolution	Artificial Intelligence Review	Yucheng Ruan, Xiang Lan, Jingying Ma et al.	National University of Singapore; Institute of Data Science
2026-10-16	Evaluating LLMs for named entity recognition: a cost-benefit analysis in the legal domain	Knowledge and Information Systems	Shefali Singhal, Eoin O’Connell, Niall McCarroll et al.	University of Ulster; Ulster University, Derry-Londonderry Campus; Ulster Hospital
2026-10-13	FinSA-MoE: A parameter-efficient mixture-of-experts framework for cross-domain Chinese financial sentiment analysis	Expert Systems with Applications	Haitao Cheng, Tao Liu, Qi Wang et al.	Nanjing University of Posts and Telecommunications; Nanjing University; Nanjing University of Finance and Economics
2026-10-12	Towards proactive detection of user-side implicit conflicts in human–LLM dialogue	Expert Systems with Applications	Jinqiang Wang, Tao Zhu, Huansheng Ning	University of Science and Technology Beijing; University of South China
2026-10-08	Rank and data adaptive low-rank adaptation for 2-bit quantization-aware fine-tuning of ViT	Pattern Recognition	Yuning Yang, Guowei Peng, Xiurui Xie et al.	University of Electronic Science and Technology of China; Southwestern University of Finance and Economics
2026-10-03	Uncertainty quantification for trustworthy deep learning: Methods and measures	Neural Networks	H. Martin Gillis, Thomas P. Trappenberg	Dalhousie University
2026-10-03	StoryReasoning dataset: Using chain-of-thought for scene understanding and grounded story generation	Pattern Recognition	Daniel A. P. Oliveira, David Martins de Matos	Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento; University of Lisbon; Instituto Superior Técnico
2026-10-01	DoubleGate: Dual-Gating Mixture-of-LoRA-Experts for Parameter-Efficient Medical Multi-Task Learning	Expert Systems with Applications	Jing Wang, Yaomin Wu, Yue Wang et al.	Shanghai University of Finance and Economics
2026-10-01	PeFG-MARA: Personalized feedback generation via multi-agent retrieval-augmented large language models	Information Processing & Management	Xiaoyu Wu, Shuo Li, Shuang Liu et al.	Zhoukou Normal University; Heze Vocational College; University of Malaya
2026-10-01	A comprehensive survey on multimodal sentiment analysis: Approaches, challenges and open issues	International Journal of Information Management	Fatemeh Hemmatian, Arash Sabbaghi, Mohammad Karim Sohrabi	Islamic Azad University Semnan
2026-10-01	Semantic Privacy Protection with Utility Preservation for 3D Point Clouds	International Journal of Computer Vision	Jinchang Zhang, Jiakai Lin, David Crandall et al.	Indiana University Bloomington; Indiana University
2026-09-30	P2Mark: Plug-and-play parameter-level watermarking for neural speech generation	Artificial Intelligence	Yong Sheng Ren, Jiangyan Yi, Tao Wang et al.	Chinese Academy of Sciences; Institute of Automation; University of Chinese Academy of Sciences; …
2026-09-27	Automatic binary security classification of arabic mobile app reviews using transformer models and active learning	Information Processing & Management	Taghreed Bagies	King Abdulaziz University

Cite this page

Scholar4AI. (2026). Low-rank adaptation (LoRA). Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/low-rank-adaptation-lora

@misc{scholar4ai-equations-low-rank-adaptation-lora,
  author = {{Scholar4AI}},
  title = {Low-rank adaptation (LoRA)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/equations/low-rank-adaptation-lora}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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