Low-Rank Adaptation

Also known as LoRA

Overview

Low-rank adaptation studies how to specialize pretrained models by representing weight changes as products of small matrices while keeping most backbone weights frozen. Methods choose where adapters are placed and how their rank is allocated, using approaches such as spectral or gradient-based initialization, adaptive rank selection, and quantized fine-tuning. For multiple tasks or users, adapter routing, expert mixtures, merging, and federated aggregation aim to share useful updates without interference. The central tension is how to gain enough capacity for new tasks while controlling memory and compute, preserving existing capabilities, and generalizing across data shifts; the best rank, placement, and composition strategy depend on the model and task.

Latest papers

CardsList

538 papers92 papers in the last four weeks, up 59% on the four weeks before. 0.5% of all new papers.

  1. Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning

    Mar 22, 2026Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu +2Multi-Task LearningParameter-Efficient Fine-Tuning

  2. FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection

    Mar 20, 2026Maxime Fontana, Michael Spratling, Miaojing ShiNonlinear LoRAParameter-Efficient Fine-Tuning

  3. Zipper-LoRA: Dynamic Parameter Decoupling for Speech-LLM based Multilingual Speech Recognition

    Mar 18, 2026Yuxiang Mei, Delai Qiu, Shengping Liu +2Multilingual ASRSpeech Language Models

  4. Early Intervention for VFM-based Multimodal Medical Image Classification

    Mar 18, 2026Qijie Wei, Hailan Lin, Xirong LiCross-Modal Representation LearningVision Foundation Model Adaptation

  5. EvoTale: Continual Character Customization for Expanding Story Worlds

    Mar 17, 2026Jinlu Zhang, Qiyun Wang, Baoxiang Du +6Image GenerationSubject-Driven Image Generation

  6. W2T: LoRA Weights Already Know What They Can Do

    Mar 16, 2026Xiaolong Han, Ferrante Neri, Zijian Jiang +4Weight-Space LearningLow-Rank Adaptation

  7. Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation

    Mar 15, 2026Xi Xiao, Chenrui Ma, Yunbei Zhang +7Low-Rank AdaptationParameter-Efficient Fine-Tuning

  8. IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring

    Mar 14, 2026Xuan Cui, Huiyue Li, Run Zeng +5LLM Fine-TuningLow-Rank Adaptation

  9. Expert Pyramid Tuning: Efficient Parameter Fine-Tuning for Expertise-Driven Task Allocation

    Mar 13, 2026Jia-Chen Zhang, Zhen-Wei Yan, Yu-Jie Xiong +1Parameter-Efficient Fine-TuningLow-Rank Adaptation

  10. NeuroLoRA: Context-Aware Neuromodulation for Parameter-Efficient Multi-Task Adaptation

    Mar 12, 2026Yuxin Yang, Haoran Zhang, Mingxuan Li +6Parameter-Efficient Fine-TuningLow-Rank Adaptation

  11. Reversible Lifelong Model Editing via Semantic Routing-Based LoRA

    Mar 11, 2026Haihua Luo, Xuming Ran, Tommi Kärkkäinen +4Model EditingLanguage Model Editing

  12. Med-DualLoRA: Local Adaptation of Foundation Models for 3D Cardiac MRI

    Mar 11, 2026Joan Perramon-Llussà, Amelia Jiménez-Sánchez, Grzegorz Skorupko +4Federated Fine-TuningMedical Imaging Foundation Models

  13. Bilevel Layer-Positioning LoRA for Real Image Dehazing

    Mar 11, 2026Yan Zhang, Long Ma, Yuxin Feng +3Image DehazingLow-Rank Adaptation

  14. ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning

    Mar 10, 2026Ruizhong Qiu, Hanqing Zeng, Yinglong Xia +15Parameter-Efficient Fine-TuningLow-Rank Adaptation

  15. TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering

    Mar 10, 2026Luca Carlini, Chiara Lena, Cesare Hassan +4Video QAParameter-Efficient Fine-Tuning

  16. On Catastrophic Forgetting in Low-Rank Decomposition-Based Parameter-Efficient Fine-Tuning

    Mar 10, 2026Muhammad Ahmad, Jingjing Zheng, Yankai CaoParameter-Efficient Fine-TuningCatastrophic Forgetting

  17. ForgeDreamer: Industrial Text-to-3D Generation with Multi-Expert LoRA and Cross-View Hypergraph

    Mar 10, 2026Junhao Cai, Deyu Zeng, Junhao Pang +3Text-to-3D GenerationLow-Rank Adaptation

  18. Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor

    Mar 9, 2026Jiayu Huang, Xiaohu Wu, Tiantian He +1Federated Fine-TuningLow-Rank Adaptation

  19. FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning

    Mar 9, 2026Peishen Yan, Yang Hua, Hao Wang +4Federated Fine-TuningFederated Learning Aggregation

  20. Towards Lightweight Adaptation of Speech Enhancement Models in Real-World Environments

    Mar 8, 2026Longbiao Cheng, Shih-Chii LiuSpeech EnhancementMemory-Efficient Fine-Tuning

  21. Adaptive Capacity Allocation for Vision Language Action Fine-tuning

    Mar 8, 2026Donghoon Kim, Minji Bae, Unghui Nam +4VLA Model TrainingNonlinear LoRA

  22. Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios

    Mar 7, 2026Namrata Patil Gurav, Akashdeep Ranu, Archchana Sindhujan +1MT EvaluationMachine Translation

  23. Lifelong Embodied Navigation Learning

    Mar 6, 2026Xudong Wang, Jiahua Dong, Baichen Liu +3Embodied NavigationContinual Learning for LLM Agents