Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao | Summary: Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, hindering the advancement of research in this area. In this paper, […]


Continue.. Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction

GC-Flow: A Graph-Based Flow Network for Effective Clustering

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen | Summary: Graph convolutional networks (GCNs) are emph{discriminative models} that directly model the class posterior $p(y|mathbf{x})$ for semi-supervised classification of graph data. While being effective, as a representation learning approach, the node representations extracted from a GCN often miss […]


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Extending the Computational Reach of a Superconducting Qutrit Processor

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Samuele Ferracin, Akel Hashim, Arnaud Carignan-Dugas, John Mark Kreikebaum | Summary: Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits are typically afflicted by more […]


Continue.. Extending the Computational Reach of a Superconducting Qutrit Processor

Extending the Computational Reach of a Superconducting Qutrit Processor

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Samuele Ferracin, Akel Hashim, Arnaud Carignan-Dugas, John Mark Kreikebaum | Summary: Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits are typically afflicted by more […]


Continue.. Extending the Computational Reach of a Superconducting Qutrit Processor

Wafer-scale magnesium diboride thin films and devices with tunable high kinetic inductance

Kavli Affiliate: Nathan Lewis | First 5 Authors: Changsub Kim, Christina Bell, Jake Evans, Jonathan Greenfield, Nathan Lewis | Summary: Progress in superconducting device and detector technologies over the past decade have realized practical applications in quantum computers, detectors for far-IR telescopes, and optical communications. Superconducting thin film materials, however, have remained largely unchanged, with […]


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Wafer-Scale MgB2 Superconducting Devices

Kavli Affiliate: Nathan Lewis | First 5 Authors: Changsub Kim, Christina Bell, Jake Evans, Jonathan Greenfield, Emma Batson | Summary: Progress in superconducting device and detector technologies over the past decade have realized practical applications in quantum computers, detectors for far-infrared telescopes, and optical communications. Superconducting thin film materials, however, have remained largely unchanged, with […]


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Observation of vortex-string chiral modes in metamaterials

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jingwen Ma, Ding Jia, Li Zhang, Yi-jun Guan, Yong Ge | Summary: As a hypothetical topological defect in the geometry of spacetime, vortex strings play a crucial role in shaping the clusters of galaxies that exist today, and their distinct features can provide observable clues about the […]


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Ambarzumyan-type theorem for vectorial Sturm-Liouville operator with impulses

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Chuan-Fu Yang | Summary: We consider the vector-impulsive Sturm-Liouville problem with Neumann conditions. The Ambarzumyan$^{textbf{,}}$s theorem for the problem is proved, which states that if the eigenvalues of the problem coincide with those of the zero potential, then the potential is zero. | Search Query: […]


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Don’t Trust GPT When Your Question Is Not In English

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Senyu Li, Bradley Hauer, Ning Shi, Grzegorz Kondrak | Summary: Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained predominantly in […]


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Don’t Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Senyu Li, Bradley Hauer, Ning Shi, Grzegorz Kondrak | Summary: Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained predominantly in […]


Continue.. Don’t Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs