Cover Image

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ji, Xiaoshuang, Zhao, Zhendong, Chen, Xiaojun, Zhao, Xin, Liu, Zeyao
Format:	Preprint
Published:	2025
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

AILoRA: Function-Aware Asymmetric Initialization for Low-Rank Adaptation of Large Language Models
by: Ji, Xiaoshuang, et al.
Published: (2025)

Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation
by: Wang, Xiaoyu, et al.
Published: (2024)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
by: Zhao, Zhixue, et al.
Published: (2024)

Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks
by: Yildirim, Savas
Published: (2024)

SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models
by: Arora, Samir, et al.
Published: (2024)

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning
by: Zhao, Hang, et al.
Published: (2024)

Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)

Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation
by: Zhao, Xin, et al.
Published: (2025)

Selecting Large Language Model to Fine-tune via Rectified Scaling Law
by: Lin, Haowei, et al.
Published: (2024)

Sparse is Enough in Fine-tuning Pre-trained Large Language Models
by: Song, Weixi, et al.
Published: (2023)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)

AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models
by: Guggilla, Chinnappa, et al.
Published: (2025)

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
by: Chen, Yukang, et al.
Published: (2023)

Federated Co-tuning Framework for Large and Small Language Models
by: Fan, Tao, et al.
Published: (2024)

Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
by: Chen, Yushuo, et al.
Published: (2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)

Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)

Sensitivity of Small Language Models to Fine-tuning Data Contamination
by: Scaria, Nicy, et al.
Published: (2025)

ProFuser: Progressive Fusion of Large Language Models
by: Shi, Tianyuan, et al.
Published: (2024)

ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
by: Song, Yurun, et al.
Published: (2024)

PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging
by: He, Jinlong, et al.
Published: (2024)

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
by: Bai, Jiamu, et al.
Published: (2024)

Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation
by: Bellaouar, Slimane, et al.
Published: (2025)

Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
by: Zhou, Andy
Published: (2025)

JudgeLM: Fine-tuned Large Language Models are Scalable Judges
by: Zhu, Lianghui, et al.
Published: (2023)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
by: Chen, Yuetian, et al.
Published: (2026)

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study
by: Vij, Anneketh, et al.
Published: (2025)

Efficient End-to-end Language Model Fine-tuning on Graphs
by: Xue, Rui, et al.
Published: (2023)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
by: Kim, Kyeonghyun, et al.
Published: (2025)

Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
by: Juneja, Gurusha, et al.
Published: (2023)

Exposing Functional Fusion: A New Class of Strategic Backdoor in Dynamic Prompt Architectures
by: Liu, Zeyao, et al.
Published: (2026)

Stage-wise Fine-tuning for Graph-to-Text Generation
by: Wang, Qingyun, et al.
Published: (2021)

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
by: Huang, Tiansheng, et al.
Published: (2024)

DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
by: Lin, Runfeng, et al.
Published: (2024)

You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
by: He, Wenchong, et al.
Published: (2025)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
by: Luo, Haoran, et al.
Published: (2023)

MVPBench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values
by: Liang, Yao, et al.
Published: (2025)

Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation
by: Susanti, Yuni, et al.
Published: (2024)

Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning
by: Huang, Shih-Cheng, et al.
Published: (2022)

On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
by: Sun, Qian, et al.
Published: (2024)