Cover Image

An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ngo, Vuong M., Dang, Cach N., Nguyen, Kien V., Roantree, Mark
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Developing a Dyslexia Indicator Using Eye Tracking
by: Cogan, Kevin, et al.
Published: (2025)

An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis
by: Dao, Phuong Q., et al.
Published: (2025)

Multi-Stage Training for Abusive Comment Detection in Indic Languages
by: Rastogi, Pranshu, et al.
Published: (2026)

Context Matters: Incorporating Target Awareness in Conversational Abusive Language Detection
by: Alharthi, Raneem, et al.
Published: (2025)

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
by: Roantree, Mark, et al.
Published: (2024)

Subjective $\textit{Isms}$? On the Danger of Conflating Hate and Offence in Abusive Language Detection
by: Curry, Amanda Cercas, et al.
Published: (2024)

Polyglot-Lion: Efficient Multilingual ASR for Singapore via Balanced Fine-Tuning of Qwen3-ASR
by: Dang, Quy-Anh, et al.
Published: (2026)

A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
by: Gaim, Fitsum, et al.
Published: (2025)

EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian Twitter
by: Ilevbare, Comfort Eseohen, et al.
Published: (2024)

AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
by: Muhammad, Shamsuddeen Hassan, et al.
Published: (2025)

Abusive text transformation using LLMs
by: Chandra, Rohitash, et al.
Published: (2025)

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
by: Dang, Quy-Anh, et al.
Published: (2025)

Creating and Evaluating Code-Mixed Nepali-English and Telugu-English Datasets for Abusive Language Detection Using Traditional and Deep Learning Models
by: Pandey, Manish, et al.
Published: (2025)

SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
by: Tan, Xingwei, et al.
Published: (2025)

How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have
by: Hangya, Viktor, et al.
Published: (2023)

Using Machine Learning to Enhance the Detection of Obfuscated Abusive Words in Swahili: A Focus on Child Safety
by: Nabangi, Phyllis, et al.
Published: (2026)

Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training
by: Ngo, Nghia Trung, et al.
Published: (2024)

User-Aware Multilingual Abusive Content Detection in Social Media
by: Rehman, Mohammad Zia Ur, et al.
Published: (2024)

Retrieval-Augmented Detection of Potentially Abusive Clauses in Chilean Terms of Service
by: Loeffler, Christoffer, et al.
Published: (2026)

RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models
by: Dang, Quy-Anh, et al.
Published: (2026)

Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
by: Nguyen, Hai-Long, et al.
Published: (2024)

VM14K: First Vietnamese Medical Benchmark
by: Nguyen, Thong, et al.
Published: (2025)

Detecting and Rectifying Noisy Labels: A Similarity-based Approach
by: Huu-Tien, Dang, et al.
Published: (2025)

Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction
by: Ngo, Vuong M., et al.
Published: (2025)

How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts
by: Nguyen, Minh-Vuong, et al.
Published: (2026)

GS_DravidianLangTech@2025: Women Targeted Abusive Texts Detection on Social Media
by: Bade, Girma Yohannis, et al.
Published: (2025)

Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis
by: Koka, Sahas, et al.
Published: (2024)

NOWJ @BioCreative IX ToxHabits: An Ensemble Deep Learning Approach for Detecting Substance Use and Contextual Information in Clinical Texts
by: Tran, Huu-Huy-Hoang, et al.
Published: (2026)

Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)

Effectiveness of Counter-Speech against Abusive Content: A Multidimensional Annotation and Classification Study
by: Damo, Greta, et al.
Published: (2025)

Multi-Objective Linguistic Control of Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)

Abusive music and song transformation using GenAI and LLMs
by: Choi, Jiyang, et al.
Published: (2026)

An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese
by: Son, Tran Ngoc, et al.
Published: (2025)

Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations
by: Dang, Dang H., et al.
Published: (2026)

Will I Get Hate Speech Predicting the Volume of Abusive Replies before Posting in Social Media
by: Alharthi, Raneem, et al.
Published: (2025)

Exploring the Use of Abusive Generative AI Models on Civitai
by: Wei, Yiluo, et al.
Published: (2024)

ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning
by: Man, Hieu, et al.
Published: (2024)

VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
by: Ngo, Thinh Phuoc, et al.
Published: (2024)

Detection of Illicit Content on Online Marketplaces using Large Language Models
by: Tran, Quoc Khoa, et al.
Published: (2026)

LEAF: A Robust Expert-Based Framework for Few-Shot Continual Event Detection
by: Dao, Bao-Ngoc, et al.
Published: (2025)