X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios
Fuente:
arXiv
Saved in:
| Main Authors: | Kwak, Namju, Kim, Taesup |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
by: Zhou, Han, et al.
Published: (2023)
by: Zhou, Han, et al.
Published: (2023)
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
by: Yoshimura, Masakazu, et al.
Published: (2024)
by: Yoshimura, Masakazu, et al.
Published: (2024)
DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
by: Kim, Dohoon, et al.
Published: (2025)
by: Kim, Dohoon, et al.
Published: (2025)
PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
by: Hwang, Junseo, et al.
Published: (2025)
by: Hwang, Junseo, et al.
Published: (2025)
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
by: Deng, Wenlong, et al.
Published: (2024)
by: Deng, Wenlong, et al.
Published: (2024)
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
by: Yadav, Prateek, et al.
Published: (2023)
by: Yadav, Prateek, et al.
Published: (2023)
PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization
by: Clarke, Christopher, et al.
Published: (2024)
by: Clarke, Christopher, et al.
Published: (2024)
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
by: Li, Xianming, et al.
Published: (2026)
by: Li, Xianming, et al.
Published: (2026)
Parameter-Efficient Fine-Tuning for Foundation Models
by: Zhang, Dan, et al.
Published: (2025)
by: Zhang, Dan, et al.
Published: (2025)
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2024)
by: Peng, Zhiyuan, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
by: Lingam, Vijay, et al.
Published: (2024)
by: Lingam, Vijay, et al.
Published: (2024)
TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
by: Ma, Dabiao, et al.
Published: (2025)
by: Ma, Dabiao, et al.
Published: (2025)
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications
by: Balne, Charith Chandra Sai, et al.
Published: (2024)
by: Balne, Charith Chandra Sai, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
by: Wang, Luping, et al.
Published: (2024)
by: Wang, Luping, et al.
Published: (2024)
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
by: Ma, Xinyu, et al.
Published: (2024)
by: Ma, Xinyu, et al.
Published: (2024)
Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers
by: Pathak, Harsh Nilesh, et al.
Published: (2025)
by: Pathak, Harsh Nilesh, et al.
Published: (2025)
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
by: Nikdan, Mahdi, et al.
Published: (2024)
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)
by: Zhang, Zhi, et al.
Published: (2025)
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
by: Tang, Yiwen, et al.
Published: (2023)
by: Tang, Yiwen, et al.
Published: (2023)
Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs
by: Wang, Ruoyu, et al.
Published: (2024)
by: Wang, Ruoyu, et al.
Published: (2024)
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
by: Zhang, Zheng, et al.
Published: (2024)
by: Zhang, Zheng, et al.
Published: (2024)
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
by: Wang, Tuowei, et al.
Published: (2025)
by: Wang, Tuowei, et al.
Published: (2025)
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
by: Liu, Yilun, et al.
Published: (2025)
by: Liu, Yilun, et al.
Published: (2025)
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
by: Ponkshe, Kaustubh, et al.
Published: (2024)
by: Ponkshe, Kaustubh, et al.
Published: (2024)
Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters
by: Wang, Xinjue, et al.
Published: (2026)
by: Wang, Xinjue, et al.
Published: (2026)
PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
by: Park, Junho, et al.
Published: (2026)
by: Park, Junho, et al.
Published: (2026)
Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts
by: Zhang, Buze, et al.
Published: (2026)
by: Zhang, Buze, et al.
Published: (2026)
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, et al.
Published: (2024)
by: Liu, Zeyu, et al.
Published: (2024)
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
by: Chang, Aofei, et al.
Published: (2024)
by: Chang, Aofei, et al.
Published: (2024)
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning
by: Zhao, Lulu, et al.
Published: (2024)
by: Zhao, Lulu, et al.
Published: (2024)
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
by: Mai, Zheda, et al.
Published: (2024)
by: Mai, Zheda, et al.
Published: (2024)
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
by: Son, Hyegang, et al.
Published: (2024)
by: Son, Hyegang, et al.
Published: (2024)
Parameter Efficient Instruction Tuning: An Empirical Study
by: He, Pengfei
Published: (2024)
by: He, Pengfei
Published: (2024)
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
by: Ban, Hao, et al.
Published: (2025)
by: Ban, Hao, et al.
Published: (2025)
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
by: Du, Guodong, et al.
Published: (2025)
by: Du, Guodong, et al.
Published: (2025)
EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning
by: Kong, Lingxiao, et al.
Published: (2025)
by: Kong, Lingxiao, et al.
Published: (2025)
Parameter-Efficient Fine-Tuning for Low-Resource Languages: A Comparative Study of LLMs for Bengali Hate Speech Detection
by: Islam, Akif, et al.
Published: (2025)
by: Islam, Akif, et al.
Published: (2025)
COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling
by: Flynn, Noah
Published: (2026)
by: Flynn, Noah
Published: (2026)
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning
by: Ficek, Aleksander, et al.
Published: (2024)
by: Ficek, Aleksander, et al.
Published: (2024)
Similar Items
-
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
by: Zhou, Han, et al.
Published: (2023) -
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
by: Yoshimura, Masakazu, et al.
Published: (2024) -
DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
by: Kim, Dohoon, et al.
Published: (2025) -
PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
by: Hwang, Junseo, et al.
Published: (2025) -
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
by: Deng, Wenlong, et al.
Published: (2024)