Low-Rank Adaptation papers, 2023–2026

Key findings

• Low-Rank Adaptation went from 282 papers in 2023 to 841 in 2026, roughly 3.0x in three years.
• NeurIPS publishes the most Low-Rank Adaptation work: 781 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 4 in 2023 to 61 in 2026.
• Among the 5 topics under Optimization and Scaling, it ranks #1 by 2026 paper count; the fastest grower in the group, Scaling Laws, is up 4.1x versus 3.0x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\delta$-Mem: : Efficient Online Memory For Large Language Models
• ICML 2026A3: an Analytical Low-Rank Approximation Framework for Attention
• ICLR 2026A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
• CVPR 20262-Shots in the Dark Low-Light Denoising with Minimal Data Acquisition
• NeurIPS 2025A geometric framework for momentum-based optimizers for low-rank training
• ICML 2025Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
• ICLR 2025A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
• CVPR 2025AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
• NeurIPS 2024Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
• ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
• ICLR 2024A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
• CVPR 2024DePT: Decoupled Prompt Tuning
• NeurIPS 2023A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
• ICML 2023A Three-regime Model of Network Pruning
• ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
• CVPR 20231% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
• NeurIPS 2026A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction
• ICML 2026Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
• ICLR 2026ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
• CVPR 2026Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation

All Low-Rank Adaptation papers

147 papers, page 2 of 3

51. CVPR 2026FedARA Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment
52. CVPR 2026FOZO Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation
53. CVPR 2026Frequency Switching Mechanism for Parameter-Efficient Multi-Task Learning
54. CVPR 2026From Sketch to Fresco Efficient Diffusion Transformer with Progressive Resolution
55. CVPR 2026FSLoRA Harmonizing Detection and Re-Identification via Freq-Spatial Low-Rank Adapter for
56. CVPR 2026Gaussian Splatting-based Low-Rank Tensor Representation for Multi-Dimensional Image Recovery
57. CVPR 2026GeCo-SRT Geometry-aware Continual Adaptation for Cross-Task Sim-to-Real Transfer
58. CVPR 2026GR-Gauge Cost-efficient Training Configuration By Gauging the Gradient Redundancy
59. CVPR 2026Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned
60. CVPR 2026Hidden Monotonicity Explaining Deep Neural Networks via their DC Decomposition
61. CVPR 2026HiDRA Hierarchical Degradation Representation and Adaptation with Generative Priors for
62. CVPR 2026HiFICL High-Fidelity In-Context Learning for Multimodal Tasks
63. CVPR 2026HiLoRA Hierarchical Low-Rank Adaptation for Personalized Federated Learning
64. CVPR 2026Immunizing Models Against Harmful Long-Horizon Fine-Tuning via Contractive Optimization Dynamics
65. CVPR 2026Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance
66. CVPR 2026IP-Adapter Is All You Need Towards Fine-Tuning-Free Diffusion-Based Talking Face
67. CVPR 2026IsoCLIP Decomposing CLIP Projectors for Efficient Intra-modal Alignment
68. CVPR 2026L2DGS Low-Light Dynamic Gaussian Splatting
69. CVPR 2026Label-Free Cross-Task LoRA Merging with Null-Space Compression
70. CVPR 2026LangRef3DGS Natural Language-Guided 3D Referential Segmentation from Partial Observations via
71. CVPR 2026LATA Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs
72. CVPR 2026Learning 3D Shape Fidelity Metric from Real-world Distortions
73. CVPR 2026Less is More Data-Efficient Adaptation for Controllable Text-to-Video Generation
74. CVPR 2026LiDeRe A Lightweight Readout for Fast and Data-Efficient Dense Prediction
75. CVPR 2026LoFA Learning to Predict Personalized Prior for Fast Adaptation of
76. CVPR 2026LoPrune Efficient Data Pruning for LoRA-Based Fine-Tuning of Vision Transformer
77. CVPR 2026LOREAL Mitigating Low-Resolution Challenges in Vision-Language Models with Attribute-driven Prompt
78. CVPR 2026Low-Rank Residual Diffusion Models
79. CVPR 2026Low-Rank Test-Time Training for Pre-Trained Point Cloud Models
80. CVPR 2026Low-Resolution Editing is All You Need for High-Resolution Editing
81. CVPR 2026LRDUN A Low-Rank Deep Unfolding Network for Efficient Spectral Compressive
82. CVPR 2026LS-ViT Least-Squares Hessian Based Block Reconstruction for Low-Bit Post-Training Quantization
83. CVPR 2026Mapping Networks
84. CVPR 2026MaskAdapt Learning Flexible Motion Adaptation via Mask-Invariant Prior for Physics-Based
85. CVPR 2026MedCLIPSeg Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image
86. CVPR 2026MedFG-VQA Low-Frequency Memory and Graph Attention for Lightweight Medical VQA
87. CVPR 2026Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block
88. CVPR 2026MERLIN Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals
89. CVPR 2026MiniCPM-V 4.5 Cooking Efficient MLLMs via Architecture Data and Training
90. CVPR 2026Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models
91. CVPR 2026Model Merging in the Essential Subspace
92. CVPR 2026Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance
93. CVPR 2026Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration
94. CVPR 2026Multinex Lightweight Low-light Image Enhancement via Multi-prior Retinex
95. CVPR 2026Nonparametric Deep Fine-grained Clustering with Low-Rank Guided Vision-Language Model
96. CVPR 2026ORION ORthonormal Text Encoding for Universal VLM AdaptatION
97. CVPR 2026Parameter-Efficient Adaptation for MLLMs via Implicit Modality Decomposition
98. CVPR 2026PE3R Perception-Efficient 3D Reconstruction
99. CVPR 2026Perceptual Neural Video Compression with Color Separation and Rank Chain
100. CVPR 2026PlannerRFT Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning

FAQ

How many Low-Rank Adaptation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,273 in total: 282 in 2023, 518 in 2024, 632 in 2025, 841 in 2026.

How many Low-Rank Adaptation papers are at NeurIPS 2026?

NeurIPS 2026 has 269 Low-Rank Adaptation papers, versus 241 the year before.

How many Low-Rank Adaptation papers are at ICLR 2026?

ICLR 2026 has 184 Low-Rank Adaptation papers, versus 152 the year before.

How many Low-Rank Adaptation papers are at ICML 2026?

ICML 2026 has 240 Low-Rank Adaptation papers, versus 136 the year before.

How many Low-Rank Adaptation papers are at CVPR 2026?

CVPR 2026 has 148 Low-Rank Adaptation papers, versus 103 the year before.

Which conference publishes the most Low-Rank Adaptation papers?

NeurIPS, with 781 papers from 2023 to 2026.