Intermediate-Mass Black Holes in Green Pea Galaxies (IMBH-GP) I: a Candidate Sample from LAMOST and SDSS

Kavli Affiliate: Linhua Jiang | First 5 Authors: Ruqiu Lin, Zhen-Ya Zheng, Fang-Ting Yuan, Jun-Xian Wang, Chunyan Jiang | Summary: The scaling relation of central massive black holes (MBHs) and their host galaxies is well-studied for supermassive BHs (SMBHs, $M_{rm BH} ge 10^6, M_{rm odot}$). However, this relation has large uncertainties in the mass range […]


Continue.. Intermediate-Mass Black Holes in Green Pea Galaxies (IMBH-GP) I: a Candidate Sample from LAMOST and SDSS

Local HI Absorption towards the Magellanic Cloud foreground using ASKAP

Kavli Affiliate: Susan E. Clark | First 5 Authors: Hiep Nguyen, N. M. McClure-Griffiths, James Dempsey, John M. Dickey, Min-Young Lee | Summary: We present the largest Galactic neutral hydrogen HI absorption survey to date, utilizing the Australian SKA Pathfinder Telescope at an unprecedented spatial resolution of 30”. This survey, GASKAP-HI, unbiasedly targets 2,714 continuum […]


Continue.. Local HI Absorption towards the Magellanic Cloud foreground using ASKAP

Explanation of high redshift luminous galaxies from JWST by early dark energy model

Kavli Affiliate: Hu Zhan | First 5 Authors: Jun-Qian Jiang, Weiyang Liu, Hu Zhan, Bin Hu, | Summary: Recent observations from the James Webb Space Telescope (JWST) have uncovered massive galaxies at high redshifts, with their abundance significantly surpassing expectations. This finding poses a substantial challenge to both galaxy formation models and our understanding of […]


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PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

Kavli Affiliate: Feng Wang | First 5 Authors: Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu | Summary: Large language models (LLMs) enhanced with retrieval-augmented generation (RAG) have introduced a new paradigm for web search. However, the limited context awareness of LLMs degrades their performance on RAG tasks. Existing methods to enhance context […]


Continue.. PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

Kavli Affiliate: Feng Wang | First 5 Authors: Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu | Summary: Large language models (LLMs) enhanced with retrieval-augmented generation (RAG) have introduced a new paradigm for web search. However, the limited context awareness of LLMs degrades their performance on RAG tasks. Existing methods to enhance context […]


Continue.. PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

Gravitational Wave Astronomy With TianQin

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: En-Kun Li, Shuai Liu, Alejandro Torres-Orjuela, Xian Chen, Kohei Inayoshi | Summary: The opening of the gravitational wave window has significantly enhanced our capacity to explore the universe’s most extreme and dynamic sector. In the mHz frequency range, a diverse range of compact objects, from the most […]


Continue.. Gravitational Wave Astronomy With TianQin

Gravitational Wave Astronomy With TianQin

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: En-Kun Li, Shuai Liu, Alejandro Torres-Orjuela, Xian Chen, Kohei Inayoshi | Summary: The opening of the gravitational wave window has significantly enhanced our capacity to explore the universe’s most extreme and dynamic sector. In the mHz frequency range, a diverse range of compact objects, from the most […]


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Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wenqian Li, Wei Gao, Yan Pang, | Summary: Detecting multimodal misinformation, especially in the form of image-text pairs, is crucial. Obtaining large-scale, high-quality real-world fact-checking datasets for training detectors is costly, leading researchers to use synthetic datasets generated by AI technologies. However, the generalizability of […]


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Magnetic field of the roAp star KIC~10685175: observations versus theory

Kavli Affiliate: Huawei Zhang | First 5 Authors: Fangfei Shi, Huawei Zhang, Swetlana Hubrig, Silva Jarvinen, Huiling Chen | Summary: KIC 10685175 is a roAp star whose polar magnetic field is predicted to be 6 kG through a non-adiabatic axisymmetric pulsation theoretical model. In this work, we aim to measure the magnetic field strength of […]


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Dysregulation of the fluid homeostasis system by aging

Kavli Affiliate: Zachary Knight | Authors: Heeun Jang, Alexis Behne Sharma, Usan Dan, Jasmine H. Wong, Zachary A. Knight and Jennifer L. Garrison | Summary: Chronic dehydration is a leading cause of morbidity for the elderly, but how aging alters the fluid homeostasis system is not well understood. Here, we used a combination of physiologic, […]


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