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 participated, with top systems achieving F1 scores of 0.93 for Arabic and 0.89 for Urdu. The results 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.
| Original language | English |
|---|---|
| Title of host publication | EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026 |
| Editors | Mo El-Haj, Mo El-Haj, Paul Rayson, Mustafa Jarrar, Ignatius Ezeani, Saad Ezzini, Sina Ahmadi, Amal Haddad Haddad, Cynthia Amol, Ahmad Abdelali, Shadi Abudalfa |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 530-537 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798891763616 |
| DOIs | |
| State | Published - 2026 |
| Event | 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026 - Rabat, Morocco Duration: 28 Mar 2026 → … |
Publication series
| Name | EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026 |
|---|
Conference
| Conference | 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026 |
|---|---|
| Country/Territory | Morocco |
| City | Rabat |
| Period | 28/03/26 → … |
Bibliographical note
Publisher Copyright:© 2026 Association for Computational Linguistics.
ASJC Scopus subject areas
- Artificial Intelligence
- Linguistics and Language
- Computer Science Applications
- Signal Processing
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