KAUST ·
KAUST student Adair Gallo Junior won best poster at the Water Arabia Conference. The poster presented a patent-pending technique developed in Prof. Mishra’s Group. The technique reduces water evaporation from soils. Why it matters: This award recognizes innovative research at KAUST focused on addressing critical water resource challenges in arid regions.
arXiv ·
This paper presents a comprehensive evaluation of ChatGPT's performance across 44 Arabic NLP tasks using over 60 datasets. The study compares ChatGPT's capabilities in Modern Standard Arabic (MSA) and Dialectal Arabic (DA) against smaller, fine-tuned models. Results show ChatGPT is outperformed by smaller, fine-tuned models and exhibits limitations in handling Arabic dialects compared to MSA. Why it matters: The work highlights the need for further research and development of Arabic-specific NLP models to overcome the limitations of general-purpose models like ChatGPT.
KAUST ·
KAUST postdoctoral fellow Adrian Galilea is working at the Catalysis Center on sustainable production of chemicals from carbon dioxide. The research involves synthesizing a catalyst for the hydrogenation of CO2 to olefins and aromatics. The new material reportedly converts CO2 to these chemicals with high selectivity and productivity. Why it matters: Developing sustainable chemical production methods could reduce reliance on fossil fuels and address climate change.
arXiv ·
This paper presents a UI-level evaluation of ALLaM-34B, an Arabic-centric LLM developed by SDAIA and deployed in the HUMAIN Chat service. The evaluation used a prompt pack spanning various Arabic dialects, code-switching, reasoning, and safety, with outputs scored by frontier LLM judges. Results indicate strong performance in generation, code-switching, MSA handling, reasoning, and improved dialect fidelity, positioning ALLaM-34B as a robust Arabic LLM suitable for real-world use.