Programming the scalable optical learning operator with spatial-spectral optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Jih-Liang Hsieh, Ilker Oguz, Mustafa Yildirim, Niyazi Ulas Dinc | Summary: Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high energy consumption have emerged as issues that require solutions. […]


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Fabry-Pérot nanocavities controlled by Casimir forces in electrolyte solutions

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Lixin Ge, Kaipeng Liu, Ke Gong, Rudolf Podgornik, | Summary: We propose a design for tuning the resonant spectra of Fabry-P'{e}rot nanocavities mediated by the Casimir force. The system involves a suspended gold nanoplate approaching to a dielectric-coated gold substrate in a univalent electrolyte solution. The gold […]


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Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhiyuan He, Ke Deng, Jiangchao Gong, Yi Zhou, Desheng Wang | Summary: Passive indoor localization, integral to smart buildings, emergency response, and indoor navigation, has traditionally been limited by a focus on single-target localization and reliance on multi-packet CSI. We introduce a novel Multi-target loss, notably enhancing […]


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Surface Chern-Simons theory for third-order topological insulators and superconductors

Kavli Affiliate: Long Zhang | First 5 Authors: Zhi-Hao Huang, Yi Tan, Wei Jia, Long Zhang, Xiong-Jun Liu | Summary: Three-dimensional 3rd-order topological insulators (TOTIs) and superconductors (TOTSCs), as the highestorder topological phases hosting zero corner modes in physical dimension, has sparked extensive research interest. However, such topological states have not been discovered in reality […]


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EDTC: enhance depth of text comprehension in automated audio captioning

Kavli Affiliate: Yi Zhou | First 5 Authors: Liwen Tan, Yin Cao, Yi Zhou, , | Summary: Modality discrepancies have perpetually posed significant challenges within the realm of Automated Audio Captioning (AAC) and across all multi-modal domains. Facilitating models in comprehending text information plays a pivotal role in establishing a seamless connection between the two […]


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DEEM: Dynamic Experienced Expert Modeling for Stance Detection

Kavli Affiliate: Cheng Peng | First 5 Authors: Xiaolong Wang, Yile Wang, Sijie Cheng, Peng Li, Yang Liu | Summary: Recent work has made a preliminary attempt to use large language models (LLMs) to solve the stance detection task, showing promising results. However, considering that stance detection usually requires detailed background knowledge, the vanilla reasoning […]


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DEEM: Dynamic Experienced Expert Modeling for Stance Detection

Kavli Affiliate: Cheng Peng | First 5 Authors: Xiaolong Wang, Yile Wang, Sijie Cheng, Peng Li, Yang Liu | Summary: Recent work has made a preliminary attempt to use large language models (LLMs) to solve the stance detection task, showing promising results. However, considering that stance detection usually requires detailed background knowledge, the vanilla reasoning […]


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Aria Everyday Activities Dataset

Kavli Affiliate: Cheng Peng | First 5 Authors: Zhaoyang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino, Cheng Peng | Summary: We present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by multiple wearers in five geographically diverse indoor locations. Each of […]


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Me LLaMA: Foundation Large Language Models for Medical Applications

Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent large language models (LLMs) like ChatGPT and LLaMA have shown great promise in many AI applications. However, their performance on medical tasks is suboptimal and can be further improved by training on large domain-specific […]


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Me LLaMA: Foundation Large Language Models for Medical Applications

Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent large language models (LLMs) such as ChatGPT and LLaMA have shown great promise in many AI applications. However, their performance on medical tasks is suboptimal and can be improved by training on extensive domain-specific […]


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