activity
20202026
most citedMultitask Prompted Training Enables Zero-Shot Task Generalization

563 citations · 869 across the 25 of their papers we have counts for

collaborators

27 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.CV2026

CounterCount: Diagnosing Knowledge Bias in How Vision-Language Models Count Attributes

Reem Alzahrani, Hassan Alshanqiti, Bushra Bin Hemid +4

Do Vision-Language Models (VLMs) count what they see, or what they know about the world? We introduce CounterCount, a diagnostic dataset of paired factual and counterfactual (CF) i…

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

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.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★ 1 cited

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.CL2024★ 1 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…

cs.CL2024★ 1 cited

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training

Michael Pieler, Marco Bellagente, Hannah Teufel +9

Recently published work on rephrasing natural text data for pre-training LLMs has shown promising results when combining the original dataset with the synthetically rephrased data.…

cs.CL2024★ 3 cited

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Shivalika Singh, Freddie Vargus, Daniel Dsouza +30

Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to t…

cs.CL2024

CIDAR: Culturally Relevant Instruction Dataset For Arabic

Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf +9

Instruction tuning has emerged as a prominent methodology for teaching Large Language Models (LLMs) to follow instructions. However, current instruction datasets predominantly cate…

cs.CL2024★ 1 cited

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Fajri Koto, Haonan Li, Sara Shatnawi +10

The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models. While state-of-the-art…

cs.CL2024★ 2 cited

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay +9

Large Language Model (LLM) leaderboards based on benchmark rankings are regularly used to guide practitioners in model selection. Often, the published leaderboard rankings are take…

cs.CL2023★ 4 cited

Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches

Zaid Alyafeai, Maged S. Al-Shaibani, Moataz Ahmed

Poetry holds immense significance within the cultural and traditional fabric of any nation. It serves as a vehicle for poets to articulate their emotions, preserve customs, and con…

cs.CL2023★ 9 cited

Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models

Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi +3

Large language models (LLMs) have demonstrated impressive performance on various downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model built on top…

cs.CL2023★ 65 cited

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas Wang +51

As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop,…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2022★ 29 cited

Crosslingual Generalization through Multitask Finetuning

Niklas Muennighoff, Thomas Wang, Lintang Sutawika +16

Multitask prompted finetuning (MTF) has been shown to help large language models generalize to new tasks in a zero-shot setting, but so far explorations of MTF have focused on Engl…

cs.CL2022★ 3 cited

Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets

Yousef Altaher, Ali Fadel, Mazen Alotaibi +18

Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challe…

cs.LG2022★ 21 cited

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Stephen H. Bach, Victor Sanh, Zheng-Xin Yong +24

PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target…

cs.CL2022★ 2 cited

Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources

Angelina McMillan-Major, Zaid Alyafeai, Stella Biderman +15

In recent years, large-scale data collection efforts have prioritized the amount of data collected in order to improve the modeling capabilities of large language models. This prio…

cs.CL2021★ 106 cited

Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky +8

What are the units of text that we want to model? From bytes to multi-word expressions, text can be analyzed and generated at many granularities. Until recently, most natural langu…

cs.CL2021

Masader: Metadata Sourcing for Arabic Text and Speech Data Resources

Zaid Alyafeai, Maraim Masoud, Mustafa Ghaleb +1

The NLP pipeline has evolved dramatically in the last few years. The first step in the pipeline is to find suitable annotated datasets to evaluate the tasks we are trying to solve.…

cs.LG2021★ 563 cited

Multitask Prompted Training Enables Zero-Shot Task Generalization

Victor Sanh, Albert Webson, Colin Raffel +38

Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a…