Cover Image

Advancing Text Classification with Large Language Models and Neural Attention Mechanisms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lyu, Ning, Wang, Yuxi, Chen, Feng, Zhang, Qingyuan
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

Knowledge-Augmented Large Language Model Agents for Explainable Financial Decision-Making
by: Zhang, Qingyuan, et al.
Published: (2025)

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

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

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

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

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
by: Liu, Hongfu, et al.
Published: (2024)

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

Efficient Attention Mechanisms for Large Language Models: A Survey
by: Sun, Yutao, et al.
Published: (2025)

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

Better Language Model-Based Judging Reward Modeling through Scaling Comprehension Boundaries
by: Ning, Meiling, et al.
Published: (2025)

Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing
by: Liu, Bingyao, et al.
Published: (2024)

Multi-Scale Feature Fusion and Graph Neural Network Integration for Text Classification with Large Language Models
by: Song, Xiangchen, et al.
Published: (2025)

Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy
by: Zeng, Min, et al.
Published: (2024)

GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models
by: Zhang, Zhibo, et al.
Published: (2024)

Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models
by: Zhu, Chenyu, et al.
Published: (2025)

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
by: Hu, Yutong, et al.
Published: (2024)

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

Large Language Models for Oral History Understanding with Text Classification and Sentiment Analysis
by: Cherukuri, Komala Subramanyam, et al.
Published: (2025)

Attention Mechanism and Context Modeling System for Text Mining Machine Translation
by: Zhang, Yuwei, et al.
Published: (2024)

In-Memory Learning: A Declarative Learning Framework for Large Language Models
by: Wang, Bo, et al.
Published: (2024)

SEGMENT+: Long Text Processing with Short-Context Language Models
by: Shi, Wei, et al.
Published: (2024)

Exploring the Translation Mechanism of Large Language Models
by: Zhang, Hongbin, et al.
Published: (2025)

Bengali Text Classification: An Evaluation of Large Language Model Approaches
by: Hoque, Md Mahmudul, et al.
Published: (2026)

Large Language Models for Conducting Advanced Text Analytics Information Systems Research
by: Ampel, Benjamin M., et al.
Published: (2023)

Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support
by: Wu, Xiaojun, et al.
Published: (2024)

Synthetic Data Generation Using Large Language Models: Advances in Text and Code
by: Nadas, Mihai, et al.
Published: (2025)

A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling
by: Chang, Shuyu, et al.
Published: (2024)

MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation
by: Wang, Shanshan, et al.
Published: (2024)

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

Punctuation-aware Hybrid Trainable Sparse Attention for Large Language Models
by: Qiu, Junxiang, et al.
Published: (2026)

Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
by: Zhao, Haozhe, et al.
Published: (2024)

Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study
by: Rostam, Zhyar Rzgar K, et al.
Published: (2024)

Large Language Models For Text Classification: Case Study And Comprehensive Review
by: Kostina, Arina, et al.
Published: (2025)

Hierarchical Text Classification Using Black Box Large Language Models
by: Yoshimura, Kosuke, et al.
Published: (2025)

AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment
by: Bu, Mengyu, et al.
Published: (2025)

Self-Adaptive Cognitive Debiasing for Large Language Models in Decision-Making
by: Lyu, Yougang, et al.
Published: (2025)

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
by: Lu, Zhenyi, et al.
Published: (2024)

On the (In)Effectiveness of Large Language Models for Chinese Text Correction
by: Li, Yinghui, et al.
Published: (2023)

Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models
by: Ma, Yuxi, et al.
Published: (2023)