Kavli Affiliate: Max Tegmark | First 5 Authors: Subhash Kantamneni, Max Tegmark, , , | Summary: Mathematical reasoning is an increasingly important indicator of large language model (LLM) capabilities, yet we lack understanding of how LLMs process even simple mathematical tasks. To address this, we reverse engineer how three mid-sized LLMs compute addition. We first […]
Kavli Affiliate: Long Zhang | First 5 Authors: Jianyu Zhang, Yongwang Zhao, Long Zhang, Jilin Hu, Xiaokun Luan | Summary: Large language models (LLMs) for formal theorem proving have become a prominent research focus. At present, the proving ability of these LLMs is mainly evaluated through proof pass rates on datasets such as miniF2F. However, […]
Kavli Affiliate: George Efstathiou | First 5 Authors: Simon Pochinda, Jiten Dhandha, Anastasia Fialkov, Eloy de Lera Acedo, | Summary: In this study, we train score-based diffusion models to super-resolve gigaparsec-scale cosmological simulations of the 21-cm signal. We examine the impact of network and training dataset size on model performance, demonstrating that a single simulation […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Nan Huang, Nadia Mammone, Marco Cecchi, Xiang Zhang | Summary: Electroencephalogram (EEG) provides a non-invasive, highly accessible, and cost-effective solution for Alzheimer’s Disease (AD) detection. However, existing methods, whether based on manual feature extraction or deep learning, face two major challenges: the lack of large-scale […]
Kavli Affiliate: Erich Jarvis | Authors: Giulio Formenti, Bonhwang Koo, Marco Sollitto, Jennifer Balacco, Nadolina Brajuka, Richard Burhans, Erick Duarte, Alice Maria Giani, Kirsty McCaffrey, Jack A Medico, Eugene W Myers and Erich D Jarvis | Summary: Motivation Large sequencing data sets are produced and deposited into public archives at unprecedented rates. The availability of […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: James Williams, Elina Sendonaris, Rajveer Nehra, Robert M Gray, Ryoto Sekine | Summary: Squeezed vacuum, a fundamental resource for continuous-variable quantum information processing, has been used to demonstrate quantum advantages in sensing, communication, and computation. While most experiments use homodyne detection to characterize squeezing and are therefore […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: James Williams, Elina Sendonaris, Rajveer Nehra, Robert M Gray, Ryoto Sekine | Summary: Squeezed vacuum, a fundamental resource for continuous-variable quantum information processing, has been used to demonstrate quantum advantages in sensing, communication, and computation. While most experiments use homodyne detection to characterize squeezing and are therefore […]
Kavli Affiliate: Ke Wang | First 5 Authors: Fengyun Ren, Shumin Zhang, Ke Wang, , | Summary: The ${K_{1,1}, K_{1,2},C_m: mgeq3}$-factor of a graph is a spanning subgraph whose each component is an element of ${K_{1,1}, K_{1,2},C_m: mgeq3}$. In this paper, through the graph spectral methods, we establish the lower bound of the signless Laplacian […]
Kavli Affiliate: Chris Xu | First 5 Authors: Chris Xu, , , , | Summary: We describe an algorithm to rigorously compute the power series expansion at a CM point of a weight $2$ cusp form of level coprime to $6$. Our algorithm works by bounding the denominators that appear due to ramification, and without […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu | Summary: Click-Through Rate (CTR) prediction is a crucial task in recommendation systems, online searches, and advertising platforms, where accurately capturing users’ real interests in content is essential for performance. However, existing methods heavily rely on ID […]