Kavli Affiliate: Yi Zhou | First 5 Authors: Rui Yang, Li Fang, Yi Zhou, , | Summary: Text-based knowledge graph completion (KGC) methods, leveraging textual entity descriptions are at the research forefront. The efficacy of these models hinges on the quality of the textual data. This study explores whether enriched or more efficient textual descriptions […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa | Summary: Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. These materials are at the center of a host […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa | Summary: Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. These materials are at the center of a host […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa | Summary: Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. These materials are at the center of a host […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa | Summary: Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. These materials are at the center of a host […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir | Summary: Traditionally, large language models have been either trained on general web crawls or domain-specific data. However, recent successes of generative large language models, have shed light on the benefits of cross-domain datasets. To examine […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir | Summary: Traditionally, large language models have been either trained on general web crawls or domain-specific data. However, recent successes of generative large language models, have shed light on the benefits of cross-domain datasets. To examine […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou, | Summary: Universal domain adaptation aims to align the classes and reduce the feature gap between the same category of the source and target domains. The target private category is set as the unknown class during the adaptation process, […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Yong Zhong, Cheng Peng, Haili Huang, Dandan Guan, Jinwoong Hwang | Summary: The field of two-dimensional (2D) ferromagnetism has been proliferating over the past few years, with ongoing interests in basic science and potential applications in spintronic technology. However, a high-resolution spectroscopic study of the 2D ferromagnet […]