Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Paper • 2403.14608 • Published
LoRA Variant Catalogue
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Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper
Paper • 2311.13126 • Published • 1 -
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
Paper • 2409.09510 • Published -
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Paper • 2407.01320 • Published -
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Paper • 2403.09377 • Published • 1 -
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
Paper • 2301.12132 • Published • 2 -
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Paper • 2306.00477 • Published • 2 -
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
Paper • 2303.15647 • Published • 4 -
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning
Paper • 2309.06922 • Published • 1 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 60 -
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Paper • 2306.07967 • Published • 26 -
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 24 -
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 29 -
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 89 -
LoRAPrune: Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
Paper • 2305.18403 • Published • 3 -
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Paper • 2205.05638 • Published • 6 -
DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection
Paper • 2310.16776 • Published -
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
Paper • 2312.03732 • Published • 12 -
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Paper • 2402.12851 • Published • 2 -
NOLA: Networks as Linear Combination of Low Rank Random Basis
Paper • 2310.02556 • Published • 2 -
LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning
Paper • 2308.03303 • Published • 3 -
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Paper • 2309.05173 • Published • 1 -
In-context Autoencoder for Context Compression in a Large Language Model
Paper • 2307.06945 • Published • 29 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
Multi-Head Adapter Routing for Cross-Task Generalization
Paper • 2211.03831 • Published • 2 -
VeRA: Vector-based Random Matrix Adaptation
Paper • 2310.11454 • Published • 30 -
TART: A plug-and-play Transformer module for task-agnostic reasoning
Paper • 2306.07536 • Published • 12 -
Sparse Finetuning for Inference Acceleration of Large Language Models
Paper • 2310.06927 • Published • 15 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 50 -
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Paper • 2406.02214 • Published -
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Paper • 2405.17604 • Published • 3 -
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
Paper • 2405.15179 • Published • 1 -
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
Paper • 2405.17484 • Published • 2 -
Spectral Adapter: Fine-Tuning in Spectral Space
Paper • 2405.13952 • Published -
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
Paper • 2405.20271 • Published -
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Paper • 2405.16325 • Published • 1 -
SinkLoRA: Enhanced Efficiency and Chat Capabilities for Long-Context Large Language Models
Paper • 2406.05678 • Published • 1 -
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
Paper • 2406.10785 • Published • 1 -
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
Paper • 2405.16057 • Published -
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Paper • 2505.20355 • Published • 36 -
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
Paper • 2504.00254 • Published • 1 -
OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning
Paper • 2405.18380 • Published • 1 -
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
Paper • 2406.10777 • Published • 2 -
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
Paper • 2406.01775 • Published • 3 -
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Paper • 2406.03792 • Published -
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
Paper • 2403.08822 • Published -
PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection
Paper • 2509.09572 • Published -
High-Rank Structured Modulation for Parameter-Efficient Fine-Tuning
Paper • 2601.07507 • Published -
QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
Paper • 2509.17428 • Published • 9 -
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Paper • 2502.06820 • Published -
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Paper • 2406.16257 • Published • 1 -
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Paper • 2106.10199 • Published -
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
Paper • 2404.01430 • Published -
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
Paper • 2406.13046 • Published -
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
Paper • 2408.14470 • Published -
DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Paper • 2508.17337 • Published -
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
Paper • 2403.13269 • Published • 1 -
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Paper • 2503.05431 • Published • 1 -
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
Paper • 2401.04679 • Published • 2 -
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
Paper • 2502.00987 • Published • 9 -
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Paper • 2308.06522 • Published -
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
Paper • 2411.08212 • Published -
Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices
Paper • 2412.20004 • Published -
ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers
Paper • 2412.10135 • Published -
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation
Paper • 2501.01765 • Published -
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
Paper • 2405.17357 • Published -
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
Paper • 2405.19597 • Published -
DiffoRA: Enabling Parameter-Efficient LLM Fine-Tuning via Differential Low-Rank Matrix Adaptation
Paper • 2502.08905 • Published -
IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
Paper • 2308.12043 • Published • 1 -
Gradient-based Parameter Selection for Efficient Fine-Tuning
Paper • 2312.10136 • Published • 1 -
NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning
Paper • 2510.18940 • Published • 9 -
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Paper • 2509.09926 • Published • 14 -
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
Paper • 2402.17263 • Published -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published -
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
Paper • 2406.17740 • Published -
Parameter-Efficient Fine-Tuning via Circular Convolution
Paper • 2407.19342 • Published -
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values
Paper • 2409.05926 • Published -
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Paper • 2501.08008 • Published -
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
Paper • 2503.01419 • Published -
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
Paper • 2504.20570 • Published -
Exploring Sparsity for Parameter Efficient Fine Tuning Using Wavelets
Paper • 2505.12532 • Published -
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Paper • 2502.17920 • Published -
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
Paper • 2506.06844 • Published -
Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product
Paper • 2508.00230 • Published -
Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling
Paper • 2305.08285 • Published • 1 -
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling
Paper • 2310.12100 • Published • 1