@inproceedings{ezzini-etal-2026-abjadgeneval,
title = "{A}bjad{G}en{E}val: Abjad {AI} Generated Text Detection Shared Task for Languages Using {A}rabic Script at {A}bjad{NLP} 2026",
author = "Ezzini, Saad and
Ahmad, Irfan and
Chafik, Salmane and
Abudalfa, Shadi and
El-Haj, Mo and
Abdelali, Ahmed and
Jarrar, Mustafa and
Durrani, Nadir and
Sajjad, Hassan and
Adeeba, Farah",
booktitle = "Proceedings of the 2nd Workshop on {NLP} for Languages Using {A}rabic Script",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.abjadnlp-1.68/",
pages = "530--537",
abstract = "We present the findings of the AbjadGenEval shared task, organized as part of the AbjadNLP workshop at EACL 2026, which benchmarks AI-generated text detection for Arabic-script languages. Extending beyond Arabic to include Urdu, the task serves as a binary classification platform distinguishing human-written from AI-generated news articles produced by varied LLMs (e.g., GPT, Gemini). Twenty teams par- ticipated, with top systems achieving F1 scores of 0.93 for Arabic and 0.89 for Urdu. The re- sults highlight the dominance of multilingual transformers-specifically XLM-RoBERTa and DeBERTa-v3-and reveal significant challenges in cross-domain generalization, where naive data augmentation often yielded diminishing returns. This shared task establishes a robust baseline for authenticating content in the Abjad ecosystem."
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<abstract>We present the findings of the AbjadGenEval shared task, organized as part of the AbjadNLP workshop at EACL 2026, which benchmarks AI-generated text detection for Arabic-script languages. Extending beyond Arabic to include Urdu, the task serves as a binary classification platform distinguishing human-written from AI-generated news articles produced by varied LLMs (e.g., GPT, Gemini). Twenty teams par- ticipated, with top systems achieving F1 scores of 0.93 for Arabic and 0.89 for Urdu. The re- sults highlight the dominance of multilingual transformers-specifically XLM-RoBERTa and DeBERTa-v3-and reveal significant challenges in cross-domain generalization, where naive data augmentation often yielded diminishing returns. This shared task establishes a robust baseline for authenticating content in the Abjad ecosystem.</abstract>
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%0 Conference Proceedings
%T AbjadGenEval: Abjad AI Generated Text Detection Shared Task for Languages Using Arabic Script at AbjadNLP 2026
%A Ezzini, Saad
%A Ahmad, Irfan
%A Chafik, Salmane
%A Abudalfa, Shadi
%A El-Haj, Mo
%A Abdelali, Ahmed
%A Jarrar, Mustafa
%A Durrani, Nadir
%A Sajjad, Hassan
%A Adeeba, Farah
%S Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%F ezzini-etal-2026-abjadgeneval
%X We present the findings of the AbjadGenEval shared task, organized as part of the AbjadNLP workshop at EACL 2026, which benchmarks AI-generated text detection for Arabic-script languages. Extending beyond Arabic to include Urdu, the task serves as a binary classification platform distinguishing human-written from AI-generated news articles produced by varied LLMs (e.g., GPT, Gemini). Twenty teams par- ticipated, with top systems achieving F1 scores of 0.93 for Arabic and 0.89 for Urdu. The re- sults highlight the dominance of multilingual transformers-specifically XLM-RoBERTa and DeBERTa-v3-and reveal significant challenges in cross-domain generalization, where naive data augmentation often yielded diminishing returns. This shared task establishes a robust baseline for authenticating content in the Abjad ecosystem.
%U https://aclanthology.org/2026.abjadnlp-1.68/
%P 530-537
Markdown (Informal)
[AbjadGenEval: Abjad AI Generated Text Detection Shared Task for Languages Using Arabic Script at AbjadNLP 2026](https://aclanthology.org/2026.abjadnlp-1.68/) (Ezzini et al., AbjadNLP 2026)
ACL
- Saad Ezzini, Irfan Ahmad, Salmane Chafik, Shadi Abudalfa, Mo El-Haj, Ahmed Abdelali, Mustafa Jarrar, Nadir Durrani, Hassan Sajjad, and Farah Adeeba. 2026. AbjadGenEval: Abjad AI Generated Text Detection Shared Task for Languages Using Arabic Script at AbjadNLP 2026. In Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, pages 530–537, Rabat, Morocco. Association for Computational Linguistics.