collaborators

8 papers

cs.CL2026

When Similar Means Different: Evaluating LLMs on Arabic--Hebrew Cognates

Junhong Liang, Noor Abo Mokh, Bashar Alhafni

Arabic and Hebrew, as closely related Semitic languages, share a substantial lexicon of true cognates, misleading false friends, and modern loanwords. This overlap poses a challeng…

cs.CL2026

Arabic Sentence Segmentation Across Genres and Punctuation Conditions

Mohammed Elkholy, Khalid N. Elmadani, Nizar Habash +1

Sentence segmentation in Arabic is challenging due to ambiguous and inconsistent punctuation, with many texts lacking reliable sentence boundary markers. Existing approaches rely h…

cs.CL2026

Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures

Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377

To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…

cs.CL2026

Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models

Mohamed Adel, Bashar Alhafni, Nizar Habash

Large language models (LLMs) perform strongly on many NLP tasks, but their ability to produce explicit linguistic structure remains unclear. We evaluate instruction-tuned LLMs on t…

cs.CL2026

Opportunities and Challenges of LLMs in Education: An NLP Perspective

Sowmya Vajjala, Bashar Alhafni, Stefano Bannò +2

Interest in the role of large language models (LLMs) in education is increasing, considering the new opportunities they offer for teaching, learning, and assessment. In this paper,…

cs.CL2025

BALSAM: A Platform for Benchmarking Arabic Large Language Models

Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed +40

The impressive advancement of Large Language Models (LLMs) in English has not been matched across all languages. In particular, LLM performance in Arabic lags behind, due to data s…