4 papers
Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora
Khalil Hennara, Ahmad Bastati, Muhammad Hreden +4
The performance of large language models (LLMs) and large multimodal models (LMMs) depends heavily on the quality and scale of their pre-training datasets. Recent research shows th…
Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR
Khalil Hennara, Muhammad Hreden, Mohamed Motasim Hamed +4
Arabic document OCR remains a challenging task due to the language's cursive script, diverse fonts, diacritics, and right-to-left orientation. While modern Multimodal Large Languag…
Mutarjim: Advancing Bidirectional Arabic-English Translation with a Small Language Model
Khalil Hennara, Muhammad Hreden, Mohamed Motaism Hamed +3
We introduce Mutarjim, a compact yet powerful language model for bidirectional Arabic-English translation. While large-scale LLMs have shown impressive progress in natural language…
Sadeed: Advancing Arabic Diacritization Through Small Language Model
Zeina Aldallal, Sara Chrouf, Khalil Hennara +3
Arabic text diacritization remains a persistent challenge in natural language processing due to the language's morphological richness. In this paper, we introduce Sadeed, a novel a…