Cover Image

Parameter-Efficient Fine-Tuning With Adapters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Keyu, Pang, Yuan, Yang, Zi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
by: Cao, Jie, et al.
Published: (2025)

ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
by: Singhal, Raghav, et al.
Published: (2025)

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
by: Son, Hyegang, et al.
Published: (2024)

Comparative Analysis of Efficient Adapter-Based Fine-Tuning of State-of-the-Art Transformer Models
by: Siddiqui, Saad Mashkoor, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
by: Gao, Ziqi, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
by: Wang, Luping, et al.
Published: (2024)

PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization
by: Clarke, Christopher, et al.
Published: (2024)

ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
by: Li, Xianming, et al.
Published: (2026)

TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
by: Ma, Dabiao, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning for Medical Text Summarization: A Comparative Study of Lora, Prompt Tuning, and Full Fine-Tuning
by: Shernazarov, Ulugbek, et al.
Published: (2026)

Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
by: Zhang, Jia-Chen, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning for Foundation Models
by: Zhang, Dan, et al.
Published: (2025)

ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks
by: Inoue, Nakamasa, et al.
Published: (2024)

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
by: Ma, Xinyu, et al.
Published: (2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
by: Lingam, Vijay, et al.
Published: (2024)

Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
by: Zhang, Zheng, et al.
Published: (2024)

LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning
by: Zhao, Jiancheng, et al.
Published: (2025)

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
by: Pang, Jinlong, et al.
Published: (2025)

Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs
by: Ratnakar, Shivam, et al.
Published: (2025)

Donors and Recipients: On Asymmetric Transfer Across Tasks and Languages with Parameter-Efficient Fine-Tuning
by: Dymkiewicz, Kajetan, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts
by: Zhang, Buze, et al.
Published: (2026)

How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters
by: Oji, Romina, et al.
Published: (2025)

Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning
by: Guo, Chenyou, et al.
Published: (2026)

Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications
by: Balne, Charith Chandra Sai, et al.
Published: (2024)

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers
by: Pathak, Harsh Nilesh, et al.
Published: (2025)

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
by: Zhou, Han, et al.
Published: (2023)

Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2024)

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
by: Liu, Yilun, et al.
Published: (2025)

Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
by: Wang, Tuowei, et al.
Published: (2025)

DPI: Exploiting Parameter Heterogeneity for Interference-Free Fine-Tuning
by: Liu, Xiaoyu, et al.
Published: (2026)

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors
by: Thakur, Himanshu, et al.
Published: (2025)

HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
by: Trojan, Bartosz, et al.
Published: (2026)

Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
by: Ye, Junjie, et al.
Published: (2025)

Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
by: Zhao, Shuai, et al.
Published: (2024)

RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
by: Nikdan, Mahdi, et al.
Published: (2024)

NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning
by: Zhang, Zhi, et al.
Published: (2025)

User-Specific Dialogue Generation with User Profile-Aware Pre-Training Model and Parameter-Efficient Fine-Tuning
by: Otsuka, Atsushi, et al.
Published: (2024)

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2025)