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Professor Alouini honored at the First OIC Summit on Science and Technology

KAUST · Oct 11

KAUST Professor Mohamed-Slim Alouini received the Organization of Islamic Cooperation (OIC) Science and Technology (S&T) Achievement Award at the First OIC Summit on Science and Technology. The award recognizes Alouini's contributions to science and technology within the OIC member states. Why it matters: Recognition at the OIC level highlights KAUST's impact and Professor Alouini's leadership in advancing science and technology across the Islamic world.

Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques

arXiv · Nov 9

Researchers developed a semantic search tool for the Quran using Arabic NLP techniques. The tool was trained on a dataset of over 30 tafsirs (interpretations) of the Quran. Using the SNxLM model and cosine similarity, the tool identifies Quranic verses most relevant to a user's query, achieving a similarity score of up to 0.97. Why it matters: This tool could significantly improve access to the Quran's teachings for Arabic speakers and researchers, providing a valuable resource for religious study and understanding.

SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models

arXiv · Mar 13

The paper introduces SectEval, a new benchmark to evaluate sectarian biases in LLMs concerning Sunni and Shia Islam, available in English and Hindi. Results show significant inconsistencies in LLM responses based on language, with some models favoring Shia responses in English but Sunni in Hindi. Location-based experiments further reveal that advanced models adapt their responses based on the user's claimed country, while smaller models exhibit a consistent Sunni-leaning bias.