--- title: "Low-rank adaptation (LoRA): formula and 14 recent papers" description: "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." url: https://scholar4ai.com/equations/low-rank-adaptation-lora markdown_url: https://scholar4ai.com/equations/low-rank-adaptation-lora.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "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." data_url: https://scholar4ai.com/data/rankings.json updated: 2026-10-26T14:52:47+09:00 window: 2026-09-27 to 2026-10-26 source: OpenAlex (CC0) --- # Low-rank adaptation (LoRA) $$ W = W_0 + B A,\quad B \in \mathbb{R}^{d \times r},\ A \in \mathbb{R}^{r \times k},\ r \ll \min(d, k) $$ Fine-tunes a large model by learning a small low-rank update to its weights. - area: Machine learning - 0 papers in the last 7 days - Names searched for: low-rank adaptation, LoRA Back to the ranking: https://scholar4ai.com/rankings/equations.md ## 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 Oct 2023 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 36 months *Papers mentioning it by publication month, Oct 2023 to Sep 2026 (titles, abstracts and keywords)* | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 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](https://doi.org/10.1016/j.knosys.2026.117210) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Yanghui Huang, Donglin Cao, Dazhen Lin | | | 2026-10-17 | [Language modeling on tabular data: a survey of foundations, techniques and evolution](https://doi.org/10.1007/s10462-026-11726-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 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](https://doi.org/10.1007/s10115-026-02886-z) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 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](https://doi.org/10.1016/j.eswa.2026.134711) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.eswa.2026.134687) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.patcog.2026.115098) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 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](https://doi.org/10.1016/j.neunet.2026.109699) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | H. Martin Gillis, Thomas P. Trappenberg | Dalhousie University | | 2026-10-03 | [StoryReasoning dataset: Using chain-of-thought for scene understanding and grounded story generation](https://doi.org/10.1016/j.patcog.2026.115061) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 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](https://doi.org/10.1016/j.eswa.2026.134839) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.ipm.2026.105205) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 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](https://doi.org/10.1016/j.ijinfomgt.2026.103138) | [International Journal of Information Management](https://scholar4ai.com/journals/international-journal-of-information-management.md) | Fatemeh Hemmatian, Arash Sabbaghi, Mohammad Karim Sohrabi | Islamic Azad University Semnan | | 2026-10-01 | [Semantic Privacy Protection with Utility Preservation for 3D Point Clouds](https://doi.org/10.1007/s11263-026-03021-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1016/j.artint.2026.104627) | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | 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](https://doi.org/10.1016/j.ipm.2026.105162) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 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 ```bibtex @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} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).