arXiv ·
This paper introduces ProgramFC, a fact-checking model that decomposes complex claims into simpler sub-tasks using a library of functions. The model uses LLMs to generate reasoning programs and executes them by delegating sub-tasks, enhancing explainability and data efficiency. Experiments on fact-checking datasets demonstrate ProgramFC's superior performance compared to baseline methods, with publicly available code and data.
KAUST ·
KAUST's Discovery program supports entrepreneurship. The program appears to have existed since at least 2014, with collaborations including UC Berkeley. Why it matters: Such programs foster innovation and align with Saudi Arabia's Vision 2030 goals for economic diversification.
MBZUAI ·
MBZUAI is launching a 12-week Executive Program to train UAE government and business leaders on leveraging AI. The program aims to equip decision-makers with skills to shape future industries, aligning with the UAE's AI ambitions. It will feature instruction from professors from Oxford, MIT, and Sinovation Ventures. Why it matters: This program signals the UAE's commitment to developing local AI expertise among leadership and realizing its economic goals in the sector.
arXiv ·
Researchers have proposed the Cylindrical Representation Hypothesis (CRH) to address the instability and unpredictability observed in steering large language models, an issue not fully explained by the existing Linear Representation Hypothesis (LRH). CRH suggests that overlapping concept contributions lead to a sample-specific axis-orthogonal structure, comprising a central axis for concept generation and a surrounding normal plane for steering sensitivity. This framework identifies intrinsic uncertainty at the 'sensitive sector' level within the plane, providing a principled explanation for fluctuations in steering outcomes. Experiments verify the existence of this cylindrical structure and demonstrate CRH's practical utility in interpreting real-world model steering behavior, with code available on GitHub from mbzuai-nlp. Why it matters: This research from MBZUAI offers a crucial theoretical advancement in understanding and potentially improving the control and reliability of large language models.
KAUST ·
KAUST and Fugro conducted the first remotely operated vehicle (ROV) training program in Saudi Arabia in 2018 through the KAUST-Fugro Center of Excellence for Marine Technology. The Fugro ROV Academy is accepted by major oil and gas companies, providing KAUST marine science students access to deepwater ROVs and pilot training. KAUST Ph.D. student Lina Eyouni became the first Saudi female ROV pilot through this program. Why it matters: The initiative enhances marine research capabilities in Saudi Arabia, aligning with Vision 2030 by promoting environmental protection and providing students with industry-standard training in robotics.
KAUST ·
KAUST hosted the 15th cohort of the KAUST Gifted Student Program (KGSP) for a pre-departure orientation. The KGSP, founded in 2008, provides support for Saudi students to study STEM fields in the U.S. with the expectation that they will pursue graduate studies at KAUST and contribute to Saudi Arabia's Vision 2030. Why it matters: The KGSP serves as a key pipeline for talent development and ensures that Saudi students gain international experience before returning to contribute to the Kingdom's research and development ecosystem.