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

507 papers, page 5 of 11

201. ICLR 2025CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
202. ICLR 2025CBQ: Cross-Block Quantization for Large Language Models
203. ICLR 2025Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
204. ICLR 2025COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
205. ICLR 2025ComLoRA: A Competitive Learning Approach for Enhancing LoRA
206. ICLR 2025Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
207. ICLR 2025Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt
208. ICLR 2025Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs
209. ICLR 2025CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
210. ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
211. ICLR 2025DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
212. ICLR 2025dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
213. ICLR 2025Decoupling Angles and Strength in Low-rank Adaptation
214. ICLR 2025DELIFT: Data Efficient Language model Instruction Fine-Tuning
215. ICLR 2025Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
216. ICLR 2025Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
217. ICLR 2025Does SGD really happen in tiny subspaces?
218. ICLR 2025Dynamic Low-Rank Sparse Adaptation for Large Language Models
219. ICLR 2025Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
220. ICLR 2025DynaPrompt: Dynamic Test-Time Prompt Tuning
221. ICLR 2025Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
222. ICLR 2025Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
223. ICLR 2025Efficient Learning with Sine-Activated Low-Rank Matrices
224. ICLR 2025Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
225. ICLR 2025Efficient Model Editing with Task-Localized Sparse Fine-tuning
226. ICLR 2025Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
227. ICLR 2025Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
228. ICLR 2025Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
229. ICLR 2025Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
230. ICLR 2025Ensembles of Low-Rank Expert Adapters
231. ICLR 2025Estimating the Probabilities of Rare Outputs in Language Models
232. ICLR 2025Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
233. ICLR 2025Federated Residual Low-Rank Adaptation of Large Language Models
234. ICLR 2025Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment
235. ICLR 2025Find A Winning Sign: Sign Is All We Need to Win the Lottery
236. ICLR 2025Fine-tuning with Reserved Majority for Noise Reduction
237. ICLR 2025Fitting Networks with a Cancellation Trick
238. ICLR 2025Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
239. ICLR 2025GeoLoRA: Geometric integration for parameter efficient fine-tuning
240. ICLR 2025GraphBridge: Towards Arbitrary Transfer Learning in GNNs
241. ICLR 2025HeadMap: Locating and Enhancing Knowledge Circuits in LLMs
242. ICLR 2025HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models
243. ICLR 2025HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
244. ICLR 2025How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
245. ICLR 2025How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
246. ICLR 2025KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
247. ICLR 2025Lambda-Skip Connections: the architectural component that prevents Rank Collapse
248. ICLR 2025Large Convolutional Model Tuning via Filter Subspace
249. ICLR 2025LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
250. ICLR 2025Learning-Augmented Frequent Directions

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.