A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English

Kavli Affiliate: Xian Chen | First 5 Authors: Julian Bäumler, Louis Blöcher, Lars-Joel Frey, Xian Chen, Markus Bayer | Summary: The dissemination of online hate speech can have serious negative consequences for individuals, online communities, and entire societies. This and the large volume of hateful online content prompted both practitioners’, i.e., in content moderation or […]


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ELVES-Dwarf I: Satellites Systems of Eight Isolated Dwarf Galaxies in the Local Volume

Jiaxuan Li, Jenny E. Greene, Shany Danieli, Scott G. Carlsten, Marla Geha | Summary: [[{“value”:”The satellite populations of Milky Way–mass systems have been extensively studied, significantly advancing our understanding of galaxy formation and dark matter physics. In contrast, the satellites of lower-mass dwarf galaxies remain largely unexplored, despite hierarchical structure formation predicting that dwarf galaxies […]


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Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Kavli Affiliate: Xian Chen | First 5 Authors: Xian Chen, Rong Qu, Jing Dong, Ruibin Bai, Yaochu Jin | Summary: Dynamic scheduling in real-world environments often struggles to adapt to unforeseen disruptions, making traditional static scheduling methods and human-designed heuristics inadequate. This paper introduces an innovative approach that combines Genetic Programming (GP) with a Transformer […]


Continue.. Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Kavli Affiliate: Xian Chen | First 5 Authors: Xian Chen, Rong Qu, Jing Dong, Ruibin Bai, Yaochu Jin | Summary: Dynamic scheduling in real-world environments often struggles to adapt to unforeseen disruptions, making traditional static scheduling methods and human-designed heuristics inadequate. This paper introduces an innovative approach that combines Genetic Programming (GP) with a Transformer […]


Continue.. Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Discovery of extreme Quasi-Periodic Eruptions in a newly accreting massive black hole

Kavli Affiliate: Claudio Ricci | First 5 Authors: Lorena Hernández-García, Joheen Chakraborty, Paula Sánchez-Sáez, Claudio Ricci, Jorge Cuadra | Summary: Quasi-periodic eruptions (QPEs) are rapid, recurring X-ray bursts from supermassive black holes, believed to result from interactions between accretion disks and surrounding matter. The galaxy SDSS1335+0728, previously stable for two decades, exhibited an increase in […]


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MACER3D — an upgrade of MACER2D with enhanced subgrid models and gas physics — and its application to simulating AGN feedback in a massive elliptical galaxy

Kavli Affiliate: Feng Yuan | First 5 Authors: Haoen Zhang, Haojie Xia, Suoqing Ji, Feng Yuan, Minhang Guo | Summary: We present MACER3D (Multiscale AGN-regulated Cosmic Ecosystem Resolver in 3D), a new suite of three-dimensional hydrodynamic simulations that study active galactic nuclei (AGN) feedback on galactic scales over Gyr duration, with major enhancement in subgrid […]


Continue.. MACER3D — an upgrade of MACER2D with enhanced subgrid models and gas physics — and its application to simulating AGN feedback in a massive elliptical galaxy

The UV Legacy Library of Young Stars as Essential Standards (ULLYSES) Large Director’s Discretionary Program with Hubble. I. Goals, Design, and Initial Results

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Julia Roman-Duval, William J. Fischer, Alexander W. Fullerton, Jo Taylor, Rachel Plesha | Summary: Specifically selected to leverage the unique ultraviolet capabilities of the Hubble Space Telescope, the Hubble Ultraviolet Legacy Library of Young Stars as Essential Standards (ULLYSES) is a Director’s Discretionary program of approximately […]


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Dust Growth in ALMA Rings: II. Dusty Rossby Wave Instability

Kavli Affiliate: Feng Yuan | First 5 Authors: Can Cui, Konstantin Gerbig, Ya-Ping Li, Ziyan Xu, Rixin Li | Summary: Annular substructures serve as ideal venues for planetesimal formation. In this series, we investigate the linear stage of dust growth within rings. The first paper examines the global streaming instability, while this study focuses on […]


Continue.. Dust Growth in ALMA Rings: II. Dusty Rossby Wave Instability

Dust Growth in ALMA Rings: II. Dusty Rossby Wave Instability

Kavli Affiliate: Feng Yuan | First 5 Authors: Can Cui, Konstantin Gerbig, Ya-Ping Li, Ziyan Xu, Rixin Li | Summary: Annular substructures serve as ideal venues for planetesimal formation. In this series, we investigate the linear stage of dust growth within rings. The first paper examines the global streaming instability, while this study focuses on […]


Continue.. Dust Growth in ALMA Rings: II. Dusty Rossby Wave Instability

The Kratos Framework for Heterogeneous Astrophysical Simulations: Ray Tracing, Reacting Flow and Thermochemistry

Kavli Affiliate: Lile Wang | First 5 Authors: Lile Wang, , , , | Summary: Thermochemistry, ray-tracing radiation, and radiation-matter interactions are important processes which are computationally difficult to model in astrophysical simulations, addressed by introducing novel algorithms optimized for heterogeneous architectures in the Kratos framework. Key innovations include a stoichiometry-compatible reconstruction scheme for consistent […]


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