KAUST has appointed Dr. Chak Chan as the new dean of its Physical Science and Engineering (PSE) division, commencing in May 2023. Dr. Chan previously served as the Dean of the School of Energy and Environment at the City University of Hong Kong and brings over 14 years of administrative experience. His research focuses on the physical chemistry of the atmosphere, aligning with KAUST's focus on climate, livability, and sustainability. Why it matters: This appointment strengthens KAUST's leadership in physical science and engineering, particularly in areas related to environmental sustainability and interdisciplinary research, aligning with Saudi Arabia's priorities.
A new paper from MBZUAI researchers explores using ChatGPT to combat the spread of fake news. The researchers, including Preslav Nakov and Liangming Pan, demonstrate that ChatGPT can be used to fact-check published information. Their paper, "Fact-Checking Complex Claims with Program-Guided Reasoning," was accepted at ACL 2023. Why it matters: This research highlights the potential of large language models to address the growing challenge of misinformation, with implications for maintaining information integrity in the digital age.
KAUST has appointed Dr. Tony Chan, former president of HKUST and KAUST board member, as its new president, effective September 1, 2018. Chan's background is in computational mathematics with interests including image processing, computer vision, physical circuit design and computational brain mapping. He has been a close partner of KAUST since 2007 and a member of the KAUST Board of Trustees since 2011. Why it matters: Chan's leadership is expected to contribute to KAUST's role in achieving Saudi Arabia's Vision 2030 objectives and addressing global challenges.
Dr. Tony Chan has assumed the role of President of KAUST on September 1st. He previously led the Hong Kong University of Science and Technology (HKUST) for a decade. Prior to that, he had a distinguished career in computational mathematics and held leadership positions at the U.S. National Science Foundation and the University of California, Los Angeles. Why it matters: Chan's appointment signals KAUST's continued focus on advancing its global research agenda and contributing to Saudi Arabia's Vision 2030.
Video-ChatGPT is a new multimodal model that combines a video-adapted visual encoder with a large language model (LLM) to enable detailed video understanding and conversation. The authors introduce a new dataset of 100,000 video-instruction pairs for training the model. They also develop a quantitative evaluation framework for video-based dialogue models.
A new benchmark, LongShOTBench, is introduced for evaluating multimodal reasoning and tool use in long videos, featuring open-ended questions and diagnostic rubrics. The benchmark addresses the limitations of existing datasets by combining temporal length and multimodal richness, using human-validated samples. LongShOTAgent, an agentic system, is also presented for analyzing long videos, with both the benchmark and agent demonstrating the challenges faced by state-of-the-art MLLMs.