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 13 of 13

601. NeurIPS 2025SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
602. NeurIPS 2025Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
603. NeurIPS 2025Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
604. NeurIPS 2025Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks
605. NeurIPS 2025SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography
606. NeurIPS 2025STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization
607. NeurIPS 2025StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
608. NeurIPS 2025SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
609. NeurIPS 2025SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
610. NeurIPS 2025Tensor Product Attention Is All You Need
611. NeurIPS 2025Test-Time Adaptation by Causal Trimming
612. NeurIPS 2025The Best Instruction-Tuning Data are Those That Fit
613. NeurIPS 2025The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
614. NeurIPS 2025The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
615. NeurIPS 2025The Persistence of Neural Collapse Despite Low-Rank Bias
616. NeurIPS 2025The Primacy of Magnitude in Low-Rank Adaptation
617. NeurIPS 2025Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding
618. NeurIPS 2025Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning
619. NeurIPS 2025Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
620. NeurIPS 2025Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
621. NeurIPS 2025TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup
622. NeurIPS 2025TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
623. NeurIPS 2025Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
624. NeurIPS 2025UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
625. NeurIPS 2025Understanding Prompt Tuning and In-Context Learning via Meta-Learning
626. NeurIPS 2025Uni-LoRA: One Vector is All You Need
627. NeurIPS 2025VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
628. NeurIPS 2025Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
629. NeurIPS 2025VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
630. NeurIPS 2025World Models as Reference Trajectories for Rapid Motor Adaptation
631. NeurIPS 2025You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM
632. NeurIPS 2025Zebra-Llama: Towards Extremely Efficient Hybrid Models

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.