AIConfPaper
← Search

Sara Ghaboura

3 accepted papers

2025

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark

Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, Ali Husain Salem Abdulla Alharthi, Ines Riahi, Abduljalil Radman +4
NAACL 2025findings

Recent years have witnessed a significant interest in developing large multi-modal models (LMMs) capable of performing various visual reasoning and understanding tasks. This has led to the introduction of multiple LMM benchmarks to evaluate LMMs on different tasks. However, most existing LMM evaluat…

Cited by 3Source ↗PDF ↗code ↗Scholar ↗
2025

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

Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura, Ketan Pravin More, Omkar Thawakar, Hisham Cholakkal +2
EMNLP 2025

Arabic poetry stands as one of the most sophisticated and culturally embedded forms of expression in the Arabic language, known for its layered meanings, stylistic diversity, and deep historical continuity. Although large language models (LLMs) have demonstrated strong performance across languages a

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2025

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

Sara Ghaboura, Ketan Pravin More, Ritesh Thawkar, Wafa Al Ghallabi, Omkar Thawakar, Fahad Shahbaz Khan +3
ACL 2025finding

Understanding historical and cultural artifacts demands human expertise and advanced computational techniques, yet the process remains complex and time-intensive. While large multimodal models offer promising support, their evaluation and improvement require a standardized benchmark. To address this…

Cited by 0Source ↗PDF ↗code ↗Scholar ↗