Kavli Affiliate: Cheng Peng | First 5 Authors: Yuanye Liu, Jiahang Xu, Li Lyna Zhang, Qi Chen, Xuan Feng | Summary: Large Language Models (LLMs) have shown significant capability across various tasks, with their real-world effectiveness often driven by prompt design. While recent research has focused on optimizing prompt content, the role of prompt formatting, […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Nissim Maruani, Wang Yifan, Matthew Fisher, Pierre Alliez, Mathieu Desbrun | Summary: This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques often […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Nissim Maruani, Wang Yifan, Matthew Fisher, Pierre Alliez, Mathieu Desbrun | Summary: This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques often […]
Kavli Affiliate: Long Zhang | First 5 Authors: Jianyu Zhang, Yongwang Zhao, Long Zhang, Jilin Hu, Xiaokun Luan | Summary: Large language models (LLMs) for formal theorem proving have become a prominent research focus. At present, the proving ability of these LLMs is mainly evaluated through proof pass rates on datasets such as miniF2F. However, […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Ruiqi Wu, Na Su, Chenran Zhang, Tengfei Ma, Tao Zhou | Summary: Vision-language pretraining (VLP) has been investigated to generalize across diverse downstream tasks for fundus image analysis. Although recent methods showcase promising achievements, they significantly rely on large-scale private image-text data but pay less attention to […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Fuchuan Qu, Cheng Peng, Jiaojiao Guan, Donglin Wang, Yanni Sun | Summary: Motivation: Nucleocytoplasmic large DNA viruses (NCLDVs) are notable for their large genomes and extensive gene repertoires, which contribute to their widespread environmental presence and critical roles in processes such as host metabolic reprogramming and nutrient […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Naman Goel, , , | Summary: Federated Learning (FL) allows collaborative model training among distributed parties without pooling local datasets at a central server. However, the distributed nature of FL poses challenges in training fair federated learning models. The existing techniques are often limited in […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Naman Goel, , , | Summary: Federated Learning (FL) allows collaborative model training among distributed parties without pooling local datasets at a central server. However, the distributed nature of FL poses challenges in training fair federated learning models. The existing techniques are often limited in […]
Kavli Affiliate: Gang Su | First 5 Authors: Jia Wen Li, Gang Su, Bo Gu, , | Summary: Realizing ferromagnetic semiconductors with room Curie temperature $Trm_C$ remains a challenge in spintronics. Inspired by the recent experimental progress on the nanotubes based on 2D van der Waals non-magnetic transition-metal dichalcogenides, magnetic nanotubes based on monolayer ferromagnetic […]
Kavli Affiliate: Biao Huang | First 5 Authors: Yitao Yan, Jie Bao, Biao Huang, , | Summary: In the data-based setting, analysis and control design of dynamical systems using measured data are typically based on overlapping trajectory segments of the input and output variables. This could lead to complex designs because the system internal dynamics, […]