KAUST ·
The provided content mentions KAUST (King Abdullah University of Science and Technology) and its association with King Abdullah bin Abdulaziz Al Saud. It also includes a copyright notice. Why it matters: This is a routine update reflecting KAUST's branding and legal information.
KAUST ·
This is an announcement from KAUST. It encourages people to apply to KAUST. The announcement also mentions the late King Abdullah bin Abdulaziz Al Saud. Why it matters: Routine announcements like this help increase awareness of KAUST as a leading research university.
arXiv ·
This paper introduces a novel evaluation framework for Arabic language models, addressing gaps in linguistic accuracy and cultural alignment. The authors analyze existing datasets and present the Arabic Depth Mini Dataset (ADMD), a curated collection of 490 questions across ten domains. Evaluating GPT-4, Claude 3.5 Sonnet, Gemini Flash 1.5, CommandR 100B, and Qwen-Max using ADMD reveals performance variations, with Claude 3.5 Sonnet achieving the highest accuracy at 30%. Why it matters: The work emphasizes the importance of cultural competence in Arabic language model evaluation, providing practical insights for improvement.
arXiv ·
The Symposium on Data Mining and Applications (SDMA 2014) was organized by MEGDAM to foster collaboration among data mining and machine learning researchers in Saudi Arabia, GCC countries, and the Middle East. The symposium covered areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. Acceptance was based on originality, significance and quality of contribution.
KAUST ·
The article mentions several KAUST faculty and staff, including Matteo Parsani (Assistant Professor of Applied Mathematics), Teofilo Abrajano (Director of Sponsored Research), and David Keyes (Director of the Extreme Computing Research Center). It also references a talk by NASA Senior Scientist Mark Carpenter at the SIAM CSE 2017 conference. The article includes a photograph of King Abdullah bin Abdulaziz Al Saud. Why it matters: This appears to be general information about KAUST faculty and activities, but lacks specific details on research or AI developments.
arXiv ·
A new methodology emulating fact-checker criteria assesses news outlet factuality and bias using LLMs. The approach uses prompts based on fact-checking criteria to elicit and aggregate LLM responses for predictions. Experiments demonstrate improvements over baselines, with error analysis on media popularity and region, and a released dataset/code at https://github.com/mbzuai-nlp/llm-media-profiling.
KAUST ·
KAUST is increasing campus population due to repatriation flights and additional students coming to campus. There has been a noticeable uptick in new cases of COVID-19, with some presenting with symptoms. KAUST emphasizes the importance of wearing face coverings, observing physical distance, washing hands, avoiding groups of more than 10 people and restricting social networks. Why it matters: This update provides insight into the university's health and safety protocols, reflecting broader trends in managing public health within research institutions in the GCC.
KAUST ·
Researchers at KAUST and international collaborators have published a framework in Nature Microbiology for using microbiomes to protect wildlife. The framework outlines a path from laboratory research to large-scale applications of microbiome solutions for threatened ecosystems. It addresses ethical considerations and risk assessment for applying environmental probiotics. Why it matters: This framework provides a science-based guide for responsible research and development of microbiome solutions to combat global biodiversity loss, particularly in sensitive marine ecosystems like coral reefs.