Arabic NLP

NLP: Natural Language Processing

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21 papers in the last four weeks, up 425% on the four weeks before. 0.2% of all new papers.

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Instruction-Guided Poetry Generation in Arabic and Its Dialects
Apr 30, 2026Abdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy +5Arabic NLP Controllable Text Generation
Mohamed bin Zayed University of Artificial Intelligence
Machine learning and emoji prediction: How much accuracy can MARBERT achieve?
Apr 22, 2026Mohammed Q. Shormani, Ibrahim Abdulmalik Hassan Muneef Y. AlshawshArabic NLP Low-Resource Language Processing
Ibb University, Yemen
SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning
Apr 21, 2026Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl +12Financial Services Arabic NLP
1MBZUAI · 2INSAIT, Sofia University ”St. Kliment Ohridski” · 3The University of Manchester +1
LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation
Apr 20, 2026Samar M. Magdy, Fakhraddin Alwajih, Abdellah El Mekki +2Arabic NLP Machine Translation
λThe University of British Columbia · ξMinia University · γCanada Research Chair in NLP and ML
Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models
Mar 17, 2026Mohamed Adel, Bashar Alhafni, Nizar HabashLLM Evaluation Arabic NLP
Computational Approaches to Modeling Language Lab 1New York University Abu Dhabi · 2Mohamed bin Zayed University of Artificial Intelligence
SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models
Feb 3, 2026Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh +2LLM Safety Benchmarks Multilingual Language Model Evaluation
Compumacy for Artificial Intelligence Solutions, Cairo, Egypt · Computer Science Department, College of Computer Science and Engineering, Taibah University, Yanbu 46522, KSA · Electrical and Computer Engineering Department, George Mason University, VA, USA +2

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Instruction-Guided Poetry Generation in Arabic and Its Dialects

Abdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy, Rania Elbadry+4

Mohamed bin Zayed University of Artificial Intelligence

Arabic NLP Controllable Text Generation Language Model Post-Training Text Generation

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Poetry has long been a central art form for Arabic speakers, serving as a powerful medium of expression and cultural identity. While modern Arabic speakers continue to value poetry, existing research on Arabic poetry within Large Language Models (LLMs) has primarily focused on analysis tasks such as interpretation or metadata prediction, e.g., rhyme schemes and titles. In contrast, our work addresses the practical aspect of poetry creation in Arabic by introducing controllable generation capabilities to assist users in writing poetry. Specifically, we present a large-scale, carefully curated instruction-based dataset in Modern Standard Arabic (MSA) and various Arabic dialects. This dataset enables tasks such as writing, revising, and continuing poems based on predefined criteria, including style and rhyme, as well as performing poetry analysis. Our experiments show that fine-tuning LLMs on this dataset yields models that can effectively generate poetry that is aligned with user requirements, based on both automated metrics and human evaluation with native Arabic speakers. The data and the code are available at https://github.com/mbzuai-nlp/instructpoet-ar

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Latest papers 66

Instruction-Guided Poetry Generation in Arabic and Its Dialects

Machine learning and emoji prediction: How much accuracy can MARBERT achieve?

SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning

LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation

Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models

SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models