Omar Najar

3 papers on this site · 2023–2024

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

The most cited first (OpenAlex and our library).

Prediction of Arabic Legal Rulings using Large Language Models (2023 · 27 citations)
The paper investigates whether current large language models can forecast the outcome of Arabic court cases, a legal-NLP area that has received little attention.
ArabianGPT: Native Arabic GPT-based Large Language Model (2024 · 17 citations)
The paper argues that Arabic lacks generative language models built mainly around Arabic itself. Many existing models are multilingual or bilingual, and their vocabularies carry many English tokens, which the authors see as a poor fit for Arabic's rich morphology. Their answer is ArabianGPT, part of a wider…
LLMs as Compiler for Arabic Programming Language (2024)
The paper addresses the fact that nearly all mainstream programming languages use English keywords. This is a barrier for Arabic speakers. Earlier Arabic languages such as Sakhr Basic, ARLOGO and Phoenix each needed a hand-built compiler. The authors propose APL (Arabic Programming Language). It has no conventional…

5 co-authors with a page, the most papers together first.

Papers of our library cite their works 21 times (of the 140 884 papers whose bibliographies we read); 6 citing papers with a page here →.