HCMUS_PrompterXPrompter at AbjadMed: When Classification Meets Retrieval: Taming the Long Tail in Arabic Medical Text Classification (2026)
This paper describes a system for the ABJAD-NLP Shared Task at EACL 2026. The task is to sort Arabic medical consultations, written as question–answer pairs, into 82 topic labels. The data is very unbalanced: the largest class has 600 examples and the smallest only 7. Because scoring uses macro-F1, rare labels count…
HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style Transfer (2026)
The paper presents the top-ranked system in the AbjadStyleTransfer shared task (ArabicNLP 2026). The task is to rewrite formal Modern Standard Arabic so that it reads like a given literary author. The team's data analysis showed that none of the 21 test authors, among them Naguib Mahfouz, Taha Hussein and Khalil…
HCMUS_TheFangs at AbjadGenEval Shared Task: Weighted Layer Pooling with Attention Fusion for Arabic AI-Generated Text Detection (2026)
The paper describes the first-place system in the AbjadGenEval shared task. The task is binary classification of Arabic news texts as written by a human or produced by an LLM (GPT-3.5, GPT-4, Claude). The training data is heavily skewed toward machine text: 36,182 machine samples against 5,621 human ones.

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Updated 1 November 2026