Challenge: Our study examines ChatGPT’s performance on Arabic languages and dialectal varieties.
Approach: They conduct a large-scale automated and human evaluation of ChatGPT, encompassing 44 distinct language understanding and generation tasks on over 60 different datasets.
Outcome: The proposed model outperforms smaller models on Arabic dialects compared to GPT-4's Modern Standard Arabic and Dialectal Arabic (DA)

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Challenge: Currently, the evaluation of large language models (LLMs) such as ChatGPT in academic datasets is difficult due to the difficulty of evaluating the generative outputs produced by this model against the ground truth.
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ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning (2023.findings-emnlp)

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Challenge: Recent advances in natural language processing (NLP) have led to significant breakthroughs in the field.
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AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic (2025.findings-acl)

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Challenge: Dialectal Arabic (DA) varieties are under-served by language technologies, particularly large language models (LLMs).
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GPTEval: A Survey on Assessments of ChatGPT and GPT-4 (2024.lrec-main)

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Challenge: emergence of ChatGPT has generated speculation about its potential to disrupt social and economic systems.
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Arabic Natural Language Processing (2022.emnlp-tutorials)

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Challenge: This tutorial provides background information for system developers and researchers working with Arabic in its various forms.
Approach: This tutorial provides the necessary background information for working with Arabic in its various forms.
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AceGPT, Localizing Large Language Models in Arabic (2024.naacl-long)

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Challenge: Significant concerns emerge when addressing cultural sensitivity and local values.
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A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions (2025.coling-main)

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Challenge: Code-switching (CSW) is a common linguistic phenomenon in multilingual societies . current literature on CSW in the arab world is limited to the Arabic language .
Approach: They present a review of the literature in the field of code-switched Arabic NLP . they propose recommendations for future research .
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The Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness (2025.emnlp-main)

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Challenge: Recent work addresses this issue by modeling dialectness as a continuous variable . however, ALDi reduces complex variation to a single dimension .
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TounsiBench: Benchmarking Large Language Models for Tunisian Arabic (2025.emnlp-main)

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Challenge: a dataset of Tunisian Arabic instructions and prompts is used to evaluate LLMs' ability to understand and generate responses in Tunisia . we assess the quality, correctness, relevance, and dialectal adherence of LLM responses .
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On Using Arabic Language Dialects in Recommendation Systems (2025.findings-naacl)

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Challenge: Using natural language processing (NLP) to analyze user reviews in recommendation systems is unexplored.
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