3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

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 […]


Continue.. 3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

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 […]


Continue.. 3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

On the Impact of Cross-Domain Data on German Language Models

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 […]


Continue.. On the Impact of Cross-Domain Data on German Language Models

On the Impact of Cross-Domain Data on German Language Models

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 […]


Continue.. On the Impact of Cross-Domain Data on German Language Models

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

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, […]


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From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

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 […]


Continue.. From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

Simplicity of AdS Super Yang-Mills at One Loop

Kavli Affiliate: Xinan Zhou | First 5 Authors: Zhongjie Huang, Bo Wang, Ellis Ye Yuan, Xinan Zhou, | Summary: We perform a systematic bootstrap analysis of four-point one-loop Mellin amplitudes for super gluons in $mathrm{AdS}_5timesmathrm{S}^3$ with arbitrary Kaluza-Klein weights. The analysis produces the general expressions for these amplitudes at extremalities two and three, as well […]


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Edge-aware Feature Aggregation Network for Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu | Summary: Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer (CRC) in clinical practice. However, due to scale variation and blurry polyp boundaries, it is still a challenging task to achieve […]


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DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiaofeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, Jiwen Lu | Summary: World models, especially in autonomous driving, are trending and drawing extensive attention due to their capacity for comprehending driving environments. The established world model holds immense potential for the generation of high-quality driving videos, and […]


Continue.. DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving