activity
20222026
most citedLAraBench: Benchmarking Arabic AI with Large Language Models

14 citations · 34 across the 14 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025

OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA

Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan +8

Large-scale multimodal models achieve strong results on tasks like Visual Question Answering (VQA), but they are often limited when queries require cultural and visual information,…

cs.CL2025

An Exploration of Knowledge Editing for Arabic

Basel Mousi, Nadir Durrani, Fahim Dalvi

While Knowledge Editing (KE) has been widely explored in English, its behavior in morphologically rich languages like Arabic remains underexamined. In this work, we present the fir…

cs.CL2025

From Words to Waves: Analyzing Concept Formation in Speech and Text-Based Foundation Models

Asım Ersoy, Basel Mousi, Shammur Chowdhury +3

The emergence of large language models (LLMs) has demonstrated that systems trained solely on text can acquire extensive world knowledge, develop reasoning capabilities, and intern…

cs.CL2025

Editing Across Languages: A Survey of Multilingual Knowledge Editing

Nadir Durrani, Basel Mousi, Fahim Dalvi

While Knowledge Editing has been extensively studied in monolingual settings, it remains underexplored in multilingual contexts. This survey systematizes recent research on Multili…

cs.CL2025★ 5 cited

Fanar: An Arabic-Centric Multimodal Generative AI Platform

Fanar Team, Ummar Abbas, Mohammad Shahmeer Ahmad +39

We present Fanar, a platform for Arabic-centric multimodal generative AI systems, that supports language, speech and image generation tasks. At the heart of Fanar are Fanar Star an…