REGLAT at SemEval-2026 Task 9: Enhancing Arabic Online Polarization Detection Using AraBERT and Synonym Replacement Augmentation (2026 · 1 citation)
The paper describes REGLAT's entry to SemEval-2026 Task 9, Subtask 1. The task is binary detection of polarized posts in Arabic social media, a setting made hard by dialect diversity, rich morphology and limited labeled data.
REGLAT at AbjadGenEval: Multi-Model Ensemble Approach for Arabic AI-Generated Text Detection (2026)
The authors tackle the AbjadGenEval shared task, a binary classification problem that asks whether an Arabic text was written by a person or produced by a language model.
REGLAT at AbjadMed: Handling Imbalanced Arabic Medical Text Classification via Hierarchical KNN-MLP Architecture (2026)
This paper describes the REGLAT team's entry to the AbjadMed shared task: assigning one of 82 medical categories to Arabic healthcare question–answer texts, where some categories have many examples and others very few.

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Updated 1 November 2026