Turbulent Diffuse Molecular Media with Non-ideal Magnetohydrodynamics and Consistent Thermochemistry: Numerical Simulations and Dynamic Characteristics

Kavli Affiliate: Lile Wang | First 5 Authors: Nannan Yue, Lile Wang, Thomas Bisbas, Donghui Quan, Di Li | Summary: Turbulent diffuse molecular clouds can exhibit complicated morphologies caused by the interactions among radiation, chemistry, fluids, and fields. We performed full 3D simulations for turbulent diffuse molecular interstellar media, featuring time-dependent non-equilibrium thermochemistry co-evolved with […]


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AtLAST Science Overview Report

Kavli Affiliate: Claudio Ricci | First 5 Authors: Mark Booth, Pamela Klaassen, Claudia Cicone, Tony Mroczkowski, Martin A. Cordiner | Summary: Submillimeter and millimeter wavelengths provide a unique view of the Universe, from the gas and dust that fills and surrounds galaxies to the chromosphere of our own Sun. Current single-dish facilities have presented a […]


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A slightly oblate dark matter halo revealed by a retrograde precessing Galactic disk warp

Kavli Affiliate: Huawei Zhang | First 5 Authors: Yang Huang, Qikang Feng, Tigran Khachaturyants, Huawei Zhang, Jifeng Liu | Summary: The shape of the dark matter (DM) halo is key to understanding the hierarchical formation of the Galaxy. Despite extensive efforts in recent decades, however, its shape remains a matter of debate, with suggestions ranging […]


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DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model

Kavli Affiliate: Zhuo Li | First 5 Authors: Shezheng Song, Shasha Li, Jie Yu, Shan Zhao, Xiaopeng Li | Summary: Our study delves into Multimodal Entity Linking, aligning the mention in multimodal information with entities in knowledge base. Existing methods are still facing challenges like ambiguous entity representations and limited image information utilization. Thus, we […]


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Semi-adaptive Synergetic Two-way Pseudoinverse Learning System

Kavli Affiliate: Ke Wang | First 5 Authors: Binghong Liu, Ziqi Zhao, Shupan Li, Ke Wang, | Summary: Deep learning has become a crucial technology for making breakthroughs in many fields. Nevertheless, it still faces two important challenges in theoretical and applied aspects. The first lies in the shortcomings of gradient descent based learning schemes […]


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A high-resolution imaging survey of massive young stellar objects in the Magellanic Clouds

Kavli Affiliate: Gregory Herczeg | First 5 Authors: Venu M. Kalari, Ricardo Salinas, Hans Zinnecker, Monica Rubio, Gregory Herczeg | Summary: Constraints on the binary fraction of young massive stellar objects (mYSOs) are important for binary and massive star formation theory. Here, we present speckle imaging of 34 mYSOs located in the Large (1/2 $Z_{odot}$) […]


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FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents

Kavli Affiliate: Ke Wang | First 5 Authors: Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao | Summary: LLM-based agents have emerged as promising tools, which are crafted to fulfill complex tasks by iterative planning and action. However, these agents are susceptible to undesired planning hallucinations when lacking specific knowledge for expertise-intensive tasks. […]


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Roman FFP Revolution: Two, Three, Many Plutos

Kavli Affiliate: Subo Dong | First 5 Authors: Andrew Gould, Jennifer C. Yee, Subo Dong, , | Summary: Roman microlensing stands at a crossroads between its originally charted path of cataloging a population of cool planets that has subsequently become well-measured down to super-Earths, and the path of free-floating planets (FFPs), which did not exist […]


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