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

632 papers, page 8 of 13

351. ICML 2025Ranked Entropy Minimization for Continual Test-Time Adaptation
352. ICML 2025Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
353. ICML 2025RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts
354. ICML 2025ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
355. ICML 2025Robust Sparsification via Sensitivity
356. ICML 2025RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
357. ICML 2025SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
358. ICML 2025SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning
359. ICML 2025Self-Bootstrapping for Versatile Test-Time Adaptation
360. ICML 2025Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
361. ICML 2025SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
362. ICML 2025SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
363. ICML 2025SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
364. ICML 2025Sparse Autoencoders, Again?
365. ICML 2025Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
366. ICML 2025SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
367. ICML 2025Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
368. ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
369. ICML 2025SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
370. ICML 2025Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
371. ICML 2025Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
372. ICML 2025Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
373. ICML 2025Test-Time Learning for Large Language Models
374. ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
375. ICML 2025Text-to-LoRA: Instant Transformer Adaption
376. ICML 2025The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
377. ICML 2025The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport
378. ICML 2025Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
379. ICML 2025TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
380. ICML 2025Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
381. ICML 2025Tracking Most Significant Shifts in Infinite-Armed Bandits
382. ICML 2025Transfer Q-Learning with Composite MDP Structures
383. ICML 2025TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
384. ICML 2025Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
385. ICML 2025Ultra-Resolution Adaptation with Ease
386. ICML 2025Unified K-Means Clustering with Label-Guided Manifold Learning
387. ICML 2025Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
388. ICML 2025Vision Graph Prompting via Semantic Low-Rank Decomposition
389. ICML 2025Vision-Language Model Selection and Reuse for Downstream Adaptation
390. ICML 2025WeGeFT: Weight‑Generative Fine‑Tuning for Multi‑Faceted Efficient Adaptation of Large Models
391. ICML 2025Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
392. NeurIPS 20253BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
393. NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
394. NeurIPS 2025A geometric framework for momentum-based optimizers for low-rank training
395. NeurIPS 2025A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
396. NeurIPS 2025A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
397. NeurIPS 2025A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
398. NeurIPS 2025Accurate and Efficient Low-Rank Model Merging in Core Space
399. NeurIPS 2025Activated LoRA: Fine-tuned LLMs for Intrinsics
400. NeurIPS 2025Activity Pruning for Efficient Spiking Neural Networks

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.