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 9 of 11

401. ICLR 2024Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
402. ICLR 2024Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
403. ICLR 2024Provable Reward-Agnostic Preference-Based Reinforcement Learning
404. ICLR 2024Provably Efficient CVaR RL in Low-rank MDPs
405. ICLR 2024Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
406. ICLR 2024Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
407. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
408. ICLR 2024QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
409. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
410. ICLR 2024Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
411. ICLR 2024Sample-Efficient Quality-Diversity by Cooperative Coevolution
412. ICLR 2024Set Learning for Accurate and Calibrated Models
413. ICLR 2024SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
414. ICLR 2024SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
415. ICLR 2024Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming
416. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
417. ICLR 2024Test-time Adaptation against Multi-modal Reliability Bias
418. ICLR 2024The Expressive Power of Low-Rank Adaptation
419. ICLR 2024The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
420. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
421. ICLR 2024Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
422. ICLR 2024Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
423. ICLR 2024Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
424. ICLR 2024True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
425. ICLR 2024Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
426. ICLR 2024UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
427. ICLR 2024VeRA: Vector-based Random Matrix Adaptation
428. ICLR 2024ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
429. ICLR 2024When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
430. ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
431. ICLR 2024ZeRO++: Extremely Efficient Collective Communication for Large Model Training
432. ICLR 2023A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
433. ICLR 2023A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
434. ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
435. ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
436. ICLR 2023Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
437. ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
438. ICLR 2023AnyDA: Anytime Domain Adaptation
439. ICLR 2023Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
440. ICLR 2023Basic Binary Convolution Unit for Binarized Image Restoration Network
441. ICLR 2023Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference
442. ICLR 2023Characterizing the spectrum of the NTK via a power series expansion
443. ICLR 2023Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
444. ICLR 2023Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
445. ICLR 2023Decision S4: Efficient Sequence-Based RL via State Spaces Layers
446. ICLR 2023Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
447. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
448. ICLR 2023Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
449. ICLR 2023Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
450. ICLR 2023Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach

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.