Abdelrahman M. Shaker — accepted AI-conference papers

2026

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Video

Hanoona Abdul Rasheed, Abdelrahman M Shaker, Anqi Tang, Muhammad Maaz, Ming-Hsuan Yang, Salman Khan +1

ICLR 2026poster

Mathematical reasoning in real-world video presents a fundamentally different challenge than static images or text. It requires interpreting fine-grained visual information, accurately reading handwritten or digital text, and integrating spoken cues, often dispersed non-linearly over time. In such m…

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2025

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages

Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar +63

CVPR 2025highlight

Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cultural contexts, respect local sensitivities, and support low-resource languages, all while effectively integrating corr…

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2023

Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM

Sahal Shaji Mullappilly, Abdelrahman M Shaker, Omkar Chakradhar Thawakar, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan +1

EMNLP 2023short findings

Climate change is one of the most significant challenges we face together as a society. Creating awareness and educating policy makers the wide-ranging impact of climate change is an essential step towards a sustainable future. Recently, Large Language Models (LLMs) like ChatGPT and Bard have shown…

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