Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zhou Li, Kai Wan, Hua Sun, Mingyue Ji | Summary: Secure aggregation is motivated by federated learning (FL) where a cloud server aims to compute an averaged model (i.e., weights of deep neural networks) of the locally-trained models of numerous clients, while adhering to data […]


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High-Precision Transformer-Based Visual Servoing for Humanoid Robots in Aligning Tiny Objects

Kavli Affiliate: Wei Gao | First 5 Authors: Jialong Xue, Wei Gao, Yu Wang, Chao Ji, Dongdong Zhao | Summary: High-precision tiny object alignment remains a common and critical challenge for humanoid robots in real-world. To address this problem, this paper proposes a vision-based framework for precisely estimating and controlling the relative position between a […]


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A Foundational Potential Energy Surface Dataset for Materials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Aaron D. Kaplan, Runze Liu, Ji Qi, Tsz Wai Ko, Bowen Deng | Summary: Accurate potential energy surface (PES) descriptions are essential for atomistic simulations of materials. Universal machine learning interatomic potentials (UMLIPs)$^{1-3}$ offer a computationally efficient alternative to density functional theory (DFT)$^4$ for PES modeling […]


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Visualizing the breakdown of the quantum anomalous Hall effect

Kavli Affiliate: Katja C. Nowack | First 5 Authors: George M. Ferguson, Run Xiao, Anthony R. Richardella, Austin Kaczmarek, Nitin Samarth | Summary: The creation of topologically non-trivial matter across electronic, mechanical, cold-atom, and photonic platforms is advancing rapidly, yet understanding the breakdown of topological protection remains a major challenge. In this work, we use […]


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A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data

Kavli Affiliate: Ting Xu | First 5 Authors: Ran Hao, Yanlin Xiang, Junliang Du, Qingyuan He, Jiacheng Hu | Summary: This study proposed a hybrid model of a convolutional neural network (CNN) and a Transformer to predict and diagnose heart disease. Based on CNN’s strength in detecting local features and the Transformer’s high capacity in […]


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ReaderLM-v2: Small Language Model for HTML to Markdown and JSON

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Zesheng Shi, Bo Wang, Nan Wang, Han Xiao | Summary: We present ReaderLM-v2, a compact 1.5 billion parameter language model designed for efficient web content extraction. Our model processes documents up to 512K tokens, transforming messy HTML into clean Markdown or JSON formats with high […]


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ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition

Kavli Affiliate: Morteza Gharib | First 5 Authors: Ioannis Mandralis, Reza Nemovi, Alireza Ramezani, Richard M. Murray, Morteza Gharib | Summary: Designing ground-aerial robots is challenging due to the increased actuation requirements which can lead to added weight and reduced locomotion efficiency. Morphobots mitigate this by combining actuators into multi-functional groups and leveraging ground transformation […]


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Collective Neutrino Oscillations in Three Flavors on Qubit and Qutrit Processors

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Luca Spagnoli, Noah Goss, Alessandro Roggero, Ermal Rrapaj, Michael J. Cervia | Summary: Collective neutrino flavor oscillations are of primary importance in understanding the dynamic evolution of core-collapse supernovae and subsequent terrestrial detection, but also among the most challenging aspects of numerical simulations. This situation is complicated […]


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Large Language Models Are Innate Crystal Structure Generators

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Jingru Gan, Peichen Zhong, Yuanqi Du, Yanqiao Zhu, Chenru Duan | Summary: Crystal structure generation is fundamental to materials discovery, enabling the prediction of novel materials with desired properties. While existing approaches leverage Large Language Models (LLMs) through extensive fine-tuning on materials databases, we show that […]


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Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing

Kavli Affiliate: Xiang Zhang | First 5 Authors: Juntai Cao, Xiang Zhang, Raymond Li, Chuyuan Li, Shafiq Joty | Summary: Recent advances in test-time scaling have shown promising results in improving Large Language Models (LLMs) performance through strategic computation allocation during inference. While this approach has demonstrated strong performance improvements in logical and mathematical reasoning […]


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