Cover Image

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Hang, Chen, Qile P., Zhang, Yijing Barry, Yang, Gang
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

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

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

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

Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
by: Xiong, Feng, et al.
Published: (2024)

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
by: Liu, Qidong, et al.
Published: (2023)

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

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

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models
by: Ji, Xiaoshuang, et al.
Published: (2025)

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

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

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)

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

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

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

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
by: Peng, Cheng, et al.
Published: (2025)

Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models
by: Chen, Pin-Yu, et al.
Published: (2025)

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

Large Language Model as a Universal Clinical Multi-task Decoder
by: Wu, Yujiang, et al.
Published: (2024)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
by: Zhao, Zhixue, 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)

Demystifying Instruction Mixing for Fine-tuning Large Language Models
by: Wang, Renxi, et al.
Published: (2023)

Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting
by: Rostam, Zhyar Rzgar K, et al.
Published: (2025)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
by: Luo, Junyu, et al.
Published: (2024)

SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning
by: Liu, Fang, et al.
Published: (2025)

CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics
by: Yin, Kai, et al.
Published: (2024)

Deploying Multi-task Online Server with Large Language Model
by: Qu, Yincen, et al.
Published: (2024)

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

Advancing Large Language Model Attribution through Self-Improving
by: Huang, Lei, et al.
Published: (2024)

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

Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
by: Bhardwaj, Rishabh, et al.
Published: (2024)

Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations
by: Dong, Zhehao, et al.
Published: (2025)

Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)

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

Advancing Interpretability in Text Classification through Prototype Learning
by: Wei, Bowen, et al.
Published: (2024)

AlpaCare:Instruction-tuned Large Language Models for Medical Application
by: Zhang, Xinlu, et al.
Published: (2023)

Fine-tuning can Help Detect Pretraining Data from Large Language Models
by: Zhang, Hengxiang, et al.
Published: (2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
by: Ji, Jiabao, et al.
Published: (2024)

Memory Retrieval and Consolidation in Large Language Models through Function Tokens
by: Zhang, Shaohua, et al.
Published: (2025)

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