activity
20242026
collaborators

7 papers

cs.CV2026

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning?

Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura +6

Magnetic Resonance Imaging (MRI) interpretation is fundamental to clinical decision-making, requiring radiologists to integrate multi-view anatomical planes across sequential timep…

cs.CV2026

DuwatBench: Bridging Language and Visual Heritage through an Arabic Calligraphy Benchmark for Multimodal Understanding

Shubham Patle, Sara Ghaboura, Hania Tariq +4

Arabic calligraphy represents one of the richest visual traditions of the Arabic language, blending linguistic meaning with artistic form. Although multimodal models have advanced…

cs.CL2025

Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs

Wafa Alghallabi, Ritesh Thawkar, Sara Ghaboura +5

Arabic poetry is one of the richest and most culturally rooted forms of expression in the Arabic language, known for its layered meanings, stylistic diversity, and deep historical…

cs.CV2025

ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark

Sara Ghaboura, Ketan More, Wafa Alghallabi +5

As Large Multimodal Models (LMMs) become more capable, there is growing interest in evaluating their reasoning processes alongside their final outputs. However, most benchmarks rem…

cs.CV2025

Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts

Sara Ghaboura, Ketan More, Ritesh Thawkar +6

Understanding historical and cultural artifacts demands human expertise and advanced computational techniques, yet the process remains complex and time-intensive. While large multi…

cs.CV2025

AIN: The Arabic INclusive Large Multimodal Model

Ahmed Heakl, Sara Ghaboura, Omkar Thawkar +4

Amid the swift progress of large language models (LLMs) and their evolution into large multimodal models (LMMs), significant strides have been made in high-resource languages such…

cs.CV2024

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark

Sara Ghaboura, Ahmed Heakl, Omkar Thawakar +7

Recent years have witnessed a significant interest in developing large multimodal models (LMMs) capable of performing various visual reasoning and understanding tasks. This has led…