Through the Theory of Mind’s Eye: Reading Minds with Multimodal Video Large Language Models

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang | Summary: Can large multimodal models have a human-like ability for emotional and social reasoning, and if so, how does it work? Recent research has discovered emergent theory-of-mind (ToM) reasoning capabilities in large language models (LLMs). LLMs […]


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Solving k-SAT problems with generalized quantum measurement

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Yipei Zhang, Philippe Lewalle, K. Birgitta Whaley, , | Summary: We generalize the projection-based quantum measurement-driven $k$-SAT algorithm of Benjamin, Zhao, and Fitzsimons (BZF, arxiv:1711.02687) to arbitrary strength quantum measurements, including the limit of continuous monitoring. In doing so, we clarify that this algorithm is a particular […]


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Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, | Summary: In this paper, we tackle a new problem of textit{multi-source unsupervised domain adaptation (MSUDA) for graphs}, where models trained on annotated source domains need to be transferred to the unsupervised target graph for node classification. Due to […]


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In-situ aligned all-polarization-maintaining Er-doped fiber laser mode-locked by a nonlinear amplifying loop mirror

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kangrui Chang, Haobin Zheng, Yongzhuang Zhou, Yong Shen | Summary: Despite the wide applications for high-repetition-rate mode-locked fiber lasers, challenges persist in shortening the cavity length and coupling the fiber collimators for most existing techniques. Here, we introduce a novel collimator alignment method and demonstrate […]


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Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning

Kavli Affiliate: Ting Xu | First 5 Authors: Yuxiang Hu, Jinxin Hu, Ting Xu, Bo Zhang, Jiajie Yuan | Summary: This project intends to study a cardiovascular disease risk early warning model based on one-dimensional convolutional neural networks. First, the missing values of 13 physiological and symptom indicators such as patient age, blood glucose, cholesterol, […]


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Coherent Erbium Spin Defects in Colloidal Nanocrystal Hosts

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Joeson Wong, Mykyta Onizhuk, Jonah Nagura, Arashdeep S. Thind, Jasleen K. Bindra | Summary: We demonstrate nearly a microsecond of spin coherence in Er3+ ions doped in cerium dioxide nanocrystal hosts, despite a large gyromagnetic ratio and nanometric proximity of the spin defect to the nanocrystal surface. […]


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SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Haihang Ruan, Zhihuang Xie, Ronggang Wang, Xiangyu Yue | Summary: Recently, Neural Video Compression (NVC) techniques have achieved remarkable performance, even surpassing the best traditional lossy video codec. However, most existing NVC methods heavily rely on transmitting Motion Vector (MV) to generate accurate contextual features, […]


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Electrically Tunable Magnetoconductance of Close-Packed CVD Bilayer Graphene Layer Stacking Walls

Kavli Affiliate: Feng Wang | First 5 Authors: Qicheng Zhang, Sheng Wang, Zhaoli Gao, Sebastian Hurtado-Parra, Joel Berry | Summary: Quantum valley Hall (QVH) domain wall states are a new class of one-dimensional (1D) one-way conductors that are topologically protected in the absence of valley mixing. Development beyond a single QVH channel raises important new […]


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OmniControlNet: Dual-stage Integration for Conditional Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha | Summary: We provide a two-way integration for the widely adopted ControlNet by integrating external condition generation algorithms into a single dense prediction method and incorporating its individually trained image generation processes into a single model. Despite […]


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