An Opacity-Free Method of Testing the Cosmic Distance Duality Relation Using Strongly Lensed Gravitational Wave Signals

Kavli Affiliate: Xian Chen | First 5 Authors: Shun-Jia Huang, En-Kun Li, Jian-dong Zhang, Xian Chen, Zucheng Gao | Summary: The cosmic distance duality relation (CDDR), expressed as DL(z) = (1 + z)2DA(z), plays an important role in modern cosmology. In this paper, we propose a new method of testing CDDR using strongly lensed gravitational […]


Continue.. An Opacity-Free Method of Testing the Cosmic Distance Duality Relation Using Strongly Lensed Gravitational Wave Signals

Measuring Mass Transfer Rates in Coalescing Neutron Star–White Dwarf Binaries with Deci-Hz Gravitational-wave Detectors

Kavli Affiliate: Lijing Shao | First 5 Authors: Zhenwei Lyu, Lijing Shao, , , | Summary: Coalescing neutron star–white dwarf (NS-WD) binaries are among the primary targets for upcoming space-borne gravitational wave (GW) detectors such as LISA, TaiJi, TianQin, etc. During close interaction, these binaries undergo mass transfer, emitting simultaneous X-rays and GWs. This offers […]


Continue.. Measuring Mass Transfer Rates in Coalescing Neutron Star–White Dwarf Binaries with Deci-Hz Gravitational-wave Detectors

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun | Summary: Parameter-efficient fine-tuning (PEFT) has emerged as an effective method for adapting pre-trained language models to various tasks efficiently. Recently, there has been a growing interest in transferring knowledge from one or multiple tasks to the […]


Continue.. PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun | Summary: Parameter-efficient fine-tuning (PEFT) has emerged as an effective method for adapting pre-trained language models to various tasks efficiently. Recently, there has been a growing interest in transferring knowledge from one or multiple tasks to the […]


Continue.. PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning

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 […]


Continue.. Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

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 […]


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

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 […]


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

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?