Cover Image

Multi-Scale Feature Fusion and Graph Neural Network Integration for Text Classification with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Xiangchen, Huang, Yulin, Guo, Jinxu, Liu, Yuchen, Luan, Yaxuan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parameter-Efficient Fine-Tuning with Differential Privacy for Robust Instruction Adaptation in Large Language Models
by: Huang, Yulin, et al.
Published: (2025)

Controllable Abstraction in Summary Generation for Large Language Models via Prompt Engineering
by: Song, Xiangchen, et al.
Published: (2025)

LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
by: Guo, Xiaofan, et al.
Published: (2025)

Attention-Guided Feature Fusion (AGFF) Model for Integrating Statistical and Semantic Features in News Text Classification
by: Zare, Mohammad
Published: (2025)

Graph Neural Networks for Text Classification: A Survey
by: Wang, Kunze, et al.
Published: (2023)

Advancing Text Classification with Large Language Models and Neural Attention Mechanisms
by: Lyu, Ning, et al.
Published: (2025)

Explicit Grammar Semantic Feature Fusion for Robust Text Classification
by: Sultana, Azrin, et al.
Published: (2026)

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network
by: Liu, Xin, et al.
Published: (2025)

TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models?
by: Guo, Xinyu, et al.
Published: (2026)

Multi-label Text Classification using GloVe and Neural Network Models
by: Wang, Hongren
Published: (2023)

Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models
by: Shang, Yuzhe, et al.
Published: (2026)

Causal Tracing of Audio-Text Fusion in Large Audio Language Models
by: Chen, Wei-Chih, et al.
Published: (2026)

Temporal Text Classification with Large Language Models
by: Raihan, Nishat, et al.
Published: (2026)

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
by: Jiao, Difan, et al.
Published: (2023)

A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification
by: Ribeiro, Marina, et al.
Published: (2024)

Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?
by: Bugueño, Margarita, et al.
Published: (2023)

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
by: Cui, Menglong, et al.
Published: (2025)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
by: Yang, Haotong, et al.
Published: (2024)

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks
by: Guo, Yuting, et al.
Published: (2025)

Knowledge Editing on Black-box Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2024)

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
by: Liang, Xun, et al.
Published: (2024)

Text Classification Based on Knowledge Graphs and Improved Attention Mechanism
by: Li, Siyu, et al.
Published: (2024)

Contextual Gradient Flow Modeling for Large Language Model Generalization in Multi-Scale Feature Spaces
by: Quillington, Daphne, et al.
Published: (2025)

Knowledge Reasoning of Large Language Models Integrating Graph-Structured Information for Pest and Disease Control in Tobacco
by: Li, Siyu, et al.
Published: (2025)

GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data
by: Lin, Jiacheng, et al.
Published: (2024)

Adaptable and Reliable Text Classification using Large Language Models
by: Wang, Zhiqiang, et al.
Published: (2024)

PQ-GCN: Enhancing Text Graph Question Classification with Phrase Features
by: Lee, Junyoung, et al.
Published: (2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)

Knowledge Fusion of Large Language Models
by: Wan, Fanqi, et al.
Published: (2024)

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
by: Zeng, Min, et al.
Published: (2025)

Graph Fusion Across Languages using Large Language Models
by: Kyaw, Kaung Myat, et al.
Published: (2026)

QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification
by: Sakai, Hajar, et al.
Published: (2025)

Spiking Convolutional Neural Networks for Text Classification
by: Lv, Changze, et al.
Published: (2024)

Large Language Models for Healthcare Text Classification: A Systematic Review
by: Sakai, Hajar, et al.
Published: (2025)

Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
by: Wang, Yaxuan, et al.
Published: (2026)

Evaluating and Improving Graph to Text Generation with Large Language Models
by: He, Jie, et al.
Published: (2025)

Graph Neural Prompting with Large Language Models
by: Tian, Yijun, et al.
Published: (2023)

ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in Images
by: Van Nguyen, Quan, et al.
Published: (2024)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt
by: Li, Zhenhe, et al.
Published: (2025)