ensemble learning

3 items

RESEARCHarXiv CS.CL·4/14/2026

Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations

This research explores improving cross-lingual hate speech detection by leveraging large-scale unlabelled web data and LLM-based synthetic annotations. It shows that continued pre-training of BERT models on web data and fine-tuning with synthetic labels generated by an ensemble of LLMs significantly boosts performance, especially in low-resource settings.

Multilingual AI pre-training ensemble learning Hate Speech Detection

RESEARCHarXiv CS.CL·4/14/2026

Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning

This study explores linguistic, structural, and emotional differences between AI-generated and human-written fake news. It evaluates machine learning and ensemble-based methods to distinguish these content types, using a detailed feature representation.

ensemble learning fake news large language models misinformation

RESEARCHarXiv CS.LG·5/4/2026

Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution

This study develops a predictive framework to model the Heavy Metal Pollution Index (HPI) in groundwater, integrating response transformations with nested cross-validated ensemble machine learning. It aims to overcome challenges posed by statistical complexity and spatial heterogeneity of contaminants that affect conventional prediction methods.

ensemble learning heavy metal contamination machine learning predictive modeling