activity
20202026
most citedA Survey on Transfer Learning in Natural Language Processing

55 citations · 90 across the 16 of their papers we have counts for

collaborators

13 papers

cs.AI2026

Telco-GAIA: Bilingual Benchmark for Agents in Telecom Domain

Dmitrii Khizbullin, Zaid Alyafeai, Abdelrahman Eldesokey +4

We introduce Telco-GAIA, a bilingual, multi-modal benchmark for evaluating tool-using agents on the data of a real-world telecommunications operator. Telco-GAIA comprises 100 human…

cs.CL2025

MeXtract: Light-Weight Metadata Extraction from Scientific Papers

Zaid Alyafeai, Maged S. Al-Shaibani, Bernard Ghanem

Metadata plays a critical role in indexing, documenting, and analyzing scientific literature, yet extracting it accurately and efficiently remains a challenging task. Traditional a…

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…

cs.CL2025

MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs

Zaid Alyafeai, Maged S. Al-Shaibani, Bernard Ghanem

Metadata extraction is essential for cataloging and preserving datasets, enabling effective research discovery and reproducibility, especially given the current exponential growth…

cs.CL2025

Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task

Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad

Arabic poetry is an essential and integral part of Arabic language and culture. It has been used by the Arabs to spot lights on their major events such as depicting brutal battles…

cs.CL20241 cited

Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic

Zaid Alyafeai, Michael Pieler, Hannah Teufel +8

Large Language Models (LLMs) have shown impressive results in multiple domains of natural language processing (NLP) but are mainly focused on the English language. Recently, more L…