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 11 of 13

501. NeurIPS 2025Learning Counterfactual Outcomes Under Rank Preservation
502. NeurIPS 2025Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
503. NeurIPS 2025Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
504. NeurIPS 2025Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification
505. NeurIPS 2025Learning to Rank for In-Context Example Retrieval
506. NeurIPS 2025Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
507. NeurIPS 2025Linear Transformers Implicitly Discover Unified Numerical Algorithms
508. NeurIPS 2025Linearization Explains Fine-Tuning in Large Language Models
509. NeurIPS 2025LittleBit: Ultra Low-Bit Quantization via Latent Factorization
510. NeurIPS 2025LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
511. NeurIPS 2025Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
512. NeurIPS 2025LoRA vs Full Fine-tuning: An Illusion of Equivalence
513. NeurIPS 2025LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
514. NeurIPS 2025LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
515. NeurIPS 2025LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
516. NeurIPS 2025LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
517. NeurIPS 2025LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
518. NeurIPS 2025Low Precision Streaming PCA
519. NeurIPS 2025Low Rank Gradients and Where to Find Them
520. NeurIPS 2025Low-degree evidence for computational transition of recovery rate in stochastic block model
521. NeurIPS 2025Low-Rank Graphon Learning for Networks
522. NeurIPS 2025Low-Rank Head Avatar Personalization with Registers
523. NeurIPS 2025LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
524. NeurIPS 2025Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
525. NeurIPS 2025Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
526. NeurIPS 2025Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
527. NeurIPS 2025Memory-Efficient Training with In-Place FFT Implementation
528. NeurIPS 2025MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
529. NeurIPS 2025Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap
530. NeurIPS 2025Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning
531. NeurIPS 2025Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
532. NeurIPS 2025MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation
533. NeurIPS 2025MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation
534. NeurIPS 2025MokA: Multimodal Low-Rank Adaptation for MLLMs
535. NeurIPS 2025Monitoring Risks in Test-Time Adaptation
536. NeurIPS 2025MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
537. NeurIPS 2025MoRIC: A Modular Region-based Implicit Codec for Image Compression
538. NeurIPS 2025Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
539. NeurIPS 2025Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE
540. NeurIPS 2025Non-Convex Tensor Recovery from Tube-Wise Sensing
541. NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
542. NeurIPS 2025NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
543. NeurIPS 2025OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding
544. NeurIPS 2025On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
545. NeurIPS 2025On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
546. NeurIPS 2025On the Role of Hidden States of Modern Hopfield Network in Transformer
547. NeurIPS 2025Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
548. NeurIPS 2025Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning
549. NeurIPS 2025Optimization Inspired Few-Shot Adaptation for Large Language Models
550. NeurIPS 2025Oracle-Efficient Combinatorial Semi-Bandits

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.