A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

Kavli Affiliate: Linhua Jiang | First 5 Authors: Siwei Zou, Zheng Cai, Feige Wang, Xiaohui Fan, Jaclyn B. Champagne | Summary: We characterize the multiphase circumgalactic medium and galaxy properties at z = 6.0-6.5 in four quasar fields from the James Webb Space Telescope A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE) […]


Continue.. A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Siwei Zou, Zheng Cai, Feige Wang, Xiaohui Fan, Jaclyn B. Champagne | Summary: We characterize the multiphase circumgalactic medium and galaxy properties at z = 6.0-6.5 in four quasar fields from the James Webb Space Telescope A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE) […]


Continue.. A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

SWEA: Changing Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Bin Ji, Shezheng Song, Xi Wang | Summary: Model editing has recently gained widespread attention. Current model editing methods primarily involve modifying model parameters or adding additional modules to the existing model. However, the former causes irreversible damage to LLMs, while the latter […]


Continue.. SWEA: Changing Factual Knowledge in Large Language Models via Subject Word Embedding Altering

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji | Summary: The general capabilities of large language models (LLMs) make them the infrastructure for various AI applications, but updating their inner knowledge requires significant resources. Recent model editing is a promising technique for efficiently updating a […]


Continue.. SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar

Kavli Affiliate: Jing Wang | First 5 Authors: Yifeng Zhai, Bing Li, Bonan Yan, Jing Wang, | Summary: RRAM crossbars have been studied to construct in-memory accelerators for neural network applications due to their in-situ computing capability. However, prior RRAM-based accelerators show efficiency degradation when executing the popular attention models. We observed that the frequent […]


Continue.. STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar

A universal pairing gap measurement proposal by dynamical excitations in 2D doped attractive Fermi-Hubbard model with spin-orbit coupling

Kavli Affiliate: Feng Yuan | First 5 Authors: Huaisong Zhao, Rui Han, Ling Qin, Feng Yuan, Peng Zou | Summary: By calculating dynamical structure factor of two-dimensional doped attractive Fermi-Hubbard model with Rashba spin-orbit coupling, we not only investigate collective modes and single-particle excitations of the system during the phase transition between Bardeen-Cooper-Schrieffer superfluid and […]


Continue.. A universal pairing gap measurement proposal by dynamical excitations in 2D doped attractive Fermi-Hubbard model with spin-orbit coupling

Cosmological Prediction of the CSST Ultra Deep Field Type Ia Supernova Photometric Survey

Kavli Affiliate: Hu Zhan | First 5 Authors: Minglin Wang, Yan Gong, Furen Deng, Haitao Miao, Xuelei Chen | Summary: Type Ia supernova (SN Ia) as a standard candle is an ideal tool to measure cosmic distance and expansion history of the Universe. Here we investigate the SN Ia photometric measurement in the China Space […]


Continue.. Cosmological Prediction of the CSST Ultra Deep Field Type Ia Supernova Photometric Survey

Cosmological Prediction of the CSST Ultra Deep Field Type Ia Supernova Photometric Survey

Kavli Affiliate: Hu Zhan | First 5 Authors: Minglin Wang, Yan Gong, Furen Deng, Haitao Miao, Xuelei Chen | Summary: Type Ia supernova (SN Ia) as a standard candle is an ideal tool to measure cosmic distance and expansion history of the Universe. Here we investigate the SN Ia photometric measurement in the China Space […]


Continue.. Cosmological Prediction of the CSST Ultra Deep Field Type Ia Supernova Photometric Survey

The Reliability of Accretion Disk Inclination Derived from X-ray Spectroscopy of Active Galaxies

Kavli Affiliate: Luis C. Ho | First 5 Authors: Rong Du, Yuanze Ding, Luis C. Ho, Ruancun Li, | Summary: The inclination angle of substructures in active galaxies gives insights into physical components from scales of the vicinity of the central black hole to the entire host galaxy. We use the self-consistent reflection spectral model […]


Continue.. The Reliability of Accretion Disk Inclination Derived from X-ray Spectroscopy of Active Galaxies

Photoevaporation from Inner Protoplanetary Disks Confronted with Observations

Kavli Affiliate: Lile Wang | First 5 Authors: Yiren Lin, Lile Wang, Min Fang, Ahmad Nemer, Jeremy Goodman | Summary: The decades-long explorations on the dispersal of protoplanetary disks involve many debates about photoevaporation versus magnetized wind launching mechanisms. This letter argues that the observed winds originating from the inner disk ($Rlesssim 0.3$ AU) cannot […]


Continue.. Photoevaporation from Inner Protoplanetary Disks Confronted with Observations