TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties (2023 · 60 citations)
The paper asks how well instruction-tuned LLMs translate across the Arabic language family, which includes older, standard, and regional forms.
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition (2024 · 45 citations)
Arabic speech recognition still lacks reliable, manually labeled data for regional varieties. Most large Arabic corpora are dominated by MSA or were transcribed with light supervision. Casablanca addresses this with a community-built corpus of about 48 hours of speech from YouTube TV-series episodes. Its eight…
JEEM: Vision-Language Understanding in Four Arabic Dialects (2026 · 11 citations)
JEEM addresses a gap in evaluating vision-language models (VLMs) for Arabic. Existing Arabic multimodal data mostly comes from translated or relabeled Western images, and it is written in MSA or covers only one dialect. The authors built a benchmark with images from Jordan, the Emirates, Egypt and Morocco, one…
To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation (2024 · 8 citations)
Multilingual speech recognisers such as Whisper and SeamlessM4T are large, costly to run, and mostly tested on Modern Standard Arabic.

Co-authors here

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); 61 citing papers with a page here →.

Updated 30 October 2026