:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kwon, Yongchan, Wu, Eric, Wu, Kevin, Zou, James
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2310.00902
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TimeInf: Time Series Data Contribution via Influence Functions
by: Zhang, Yizi, et al.
Published: (2024)

LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization
by: Smith, Ethan, et al.
Published: (2024)

LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers
by: Wu, Changshun, et al.
Published: (2025)

What LLMs Think When You Don't Tell Them What to Think About?
by: Kwon, Yongchan, et al.
Published: (2026)

Cross-LoRA: A Data-Free LoRA Transfer Framework across Heterogeneous LLMs
by: Xia, Feifan, et al.
Published: (2025)

Activated LoRA: Fine-tuned LLMs for Intrinsics
by: Greenewald, Kristjan, et al.
Published: (2025)

R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025)

LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025)

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
by: Luo, Minrui, et al.
Published: (2025)

GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning
by: Ed-dib, Abdessalam, et al.
Published: (2024)

tLoRA: Efficient Multi-LoRA Training with Elastic Shared Super-Models
by: Li, Kevin, et al.
Published: (2026)

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
by: Chen, Guanduo, et al.
Published: (2025)

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
by: Shen, Yixin
Published: (2025)

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
by: Balabanov, Oleksandr, et al.
Published: (2024)

PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
by: Wang, Sheng, et al.
Published: (2024)

Gore Diffusion LoRA Model
by: Thakur, Ayush, et al.
Published: (2024)

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
by: Wang, Jiachen T., et al.
Published: (2024)

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption
by: Frery, Jordan, et al.
Published: (2025)

Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
by: Choi, Kanghyun, et al.
Published: (2025)

Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
by: Hao, Jie, et al.
Published: (2025)

Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
by: Xia, Wenhan, et al.
Published: (2024)

LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024)

Run LoRA Run: Faster and Lighter LoRA Implementations
by: Cherniuk, Daria, et al.
Published: (2023)

PLoRA: Efficient LoRA Hyperparameter Tuning for Large Models
by: Yan, Minghao, et al.
Published: (2025)

LoRA vs Full Fine-tuning: An Illusion of Equivalence
by: Shuttleworth, Reece, et al.
Published: (2024)

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
by: Cho, Yae Jee, et al.
Published: (2024)

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
by: Zhu, JianHao, et al.
Published: (2024)

Federated LoRA with Sparse Communication
by: Kuo, Kevin, et al.
Published: (2024)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
by: Liang, Yan-Shuo, et al.
Published: (2024)

FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
by: Xie, Sijing, et al.
Published: (2025)

Layer-wise LoRA fine-tuning: a similarity metric approach
by: Ogawa, Keith Ando, et al.
Published: (2026)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)

Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
by: Wang, Xinyu, et al.
Published: (2025)

A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
by: Bohnet, Bernd, et al.
Published: (2025)

LoREnc: Low-Rank Encryption for Securing Foundation Models and LoRA Adapters
by: Ahn, Beomjin, et al.
Published: (2026)

LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
by: Haider, Md Akib, et al.
Published: (2026)

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)

LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
by: Huang, Yining, et al.
Published: (2025)