Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Mingjie Zhan | Summary: Recent advancements in Large Multimodal Models (LMMs) have shown promising results in mathematical reasoning within visual contexts, with models approaching human-level performance on existing benchmarks such as MathVista. However, we observe significant limitations in the […]


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Birth of Rapidly Spinning, Overmassive Black Holes in the Early Universe

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Kohei Inayoshi, Kohei Ichikawa, , , | Summary: The James Webb Space Telescope (JWST) has unveiled numerous massive black holes (BHs) in faint, broad-line active galactic nuclei (AGNs). The discovery highlights the presence of dust-reddened AGN populations, referred to as little red dots (LRDs), more abundant than […]


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Existence and upper semicontinuity of pullback attractors for Kirchhoff wave equations in time-dependent spaces

Kavli Affiliate: Ke Wang | First 5 Authors: Bin Yang, Yuming Qin, Alain Miranville, Ke Wang, | Summary: In this paper, we shall investigate the existence and upper semicontinuity of pullback attractors for non-autonomous Kirchhoff wave equations with a strong damping in the time-dependent space $X_t$. After deriving the existence and uniqueness of solutions by […]


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Can Early Dark Energy be Probed by the High-Redshift Galaxy Abundance?

Kavli Affiliate: Hu Zhan | First 5 Authors: Weiyang Liu, Hu Zhan, Yan Gong, Xin Wang, | Summary: The Hubble tension and $sigma_{8}$ tension are two of the major issues of the standard $Lambda$ Cold Dark Matter ($Lambda$CDM) model. The analysis of the Cosmic Microwave Background (CMB) data acquired by the Atacama Cosmology Telescope (ACT) […]


Continue.. Can Early Dark Energy be Probed by the High-Redshift Galaxy Abundance?

Can Early Dark Energy be Probed by the High-Redshift Galaxy Abundance?

Kavli Affiliate: Hu Zhan | First 5 Authors: Weiyang Liu, Hu Zhan, Yan Gong, Xin Wang, | Summary: The Hubble tension and $sigma_{8}$ tension are two of the major issues of the standard $Lambda$ Cold Dark Matter ($Lambda$CDM) model. The analysis of the Cosmic Microwave Background (CMB) data acquired by the Atacama Cosmology Telescope (ACT) […]


Continue.. Can Early Dark Energy be Probed by the High-Redshift Galaxy Abundance?

Can Early Dark Energy be Probed by the High-Redshift Galaxy Abundance?

Kavli Affiliate: Hu Zhan | First 5 Authors: Weiyang Liu, Hu Zhan, Yan Gong, Xin Wang, | Summary: The analysis of the Cosmic Microwave Background (CMB) data acquired by the Atacama Cosmology Telescope (ACT) and the large-scale ($elllesssim1300$) Planck Telescope show a preference for the Early Dark Energy (EDE) theory, which was set to alleviate […]


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Two-dimensional models of core-collapse supernova explosions assisted by heavy sterile neutrinos

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Kanji Mori, Tomoya Takiwaki, Kei Kotake, Shunsaku Horiuchi, | Summary: Core-collapse supernovae can be a copious source of sterile neutrinos, hypothetical particles that mix with active neutrinos. We develop two-dimensional stellar core-collapse models that incorporate the mixing between tau neutrinos and heavy sterile neutrinos — those with […]


Continue.. Two-dimensional models of core-collapse supernova explosions assisted by heavy sterile neutrinos

Two-dimensional models of core-collapse supernova explosions assisted by heavy sterile neutrinos

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Kanji Mori, Tomoya Takiwaki, Kei Kotake, Shunsaku Horiuchi, | Summary: Core-collapse supernovae can be a copious source of sterile neutrinos, hypothetical particles that mix with active neutrinos. We develop two-dimensional stellar core-collapse models that incorporate the mixing between tau neutrinos and heavy sterile neutrinos — those with […]


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Velocity recostruction with graph neural networks

Kavli Affiliate: Jia Liu | First 5 Authors: Hideki Tanimura, Albert Bonnefous, Jia Liu, Sanmay Ganguly, | Summary: In this work, we seek to improve the velocity reconstruction of clusters by using Graph Neural Networks — a type of deep neural network designed to analyze sparse, unstructured data. In comparison to the Convolutional Neural Network […]


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