An Integrated Data Processing Framework for Pretraining Foundation Models

Kavli Affiliate: Feng Wang | First 5 Authors: Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao | Summary: The ability of the foundation models heavily relies on large-scale, diverse, and high-quality pretraining data. In order to improve data quality, researchers and practitioners often have to manually curate datasets from difference sources and […]


Continue.. An Integrated Data Processing Framework for Pretraining Foundation Models

Regioselective On-Surface Synthesis of [3]Triangulene Graphene Nanoribbons

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Michael C. Daugherty, Peter H. Jacobse, Jingwei Jiang, Joaquim Jornet-Somoza, Reis Dorit | Summary: The integration of low-energy states into bottom-up engineered graphene nanoribbons (GNRs) is a robust strategy for realizing materials with tailored electronic band structure for nanoelectronics. Low-energy zero-modes (ZMs) can be introduced into […]


Continue.. Regioselective On-Surface Synthesis of [3]Triangulene Graphene Nanoribbons

Distinguishable-particle Glassy Crystal: the simplest molecular model of glass

Kavli Affiliate: Feng Wang | First 5 Authors: Leo S. I. Lam, Gautham Gopinath, Zichen Zhao, Shuling Wang, Chun-Shing Lee | Summary: The nature of glassy dynamics and the glass transition are long-standing problems under active debate. In the presence of a structural disorder widely believed to be an essential characteristic of structural glass, identifying […]


Continue.. Distinguishable-particle Glassy Crystal: the simplest molecular model of glass

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Kavli Affiliate: Ting Xu | First 5 Authors: Runyi Hu, Jie Zhang, Ting Xu, Tianwei Zhang, Jiwei Li | Summary: Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis […]


Continue.. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Kavli Affiliate: Ting Xu | First 5 Authors: Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang | Summary: Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis […]


Continue.. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Low-Dose CT Reconstruction Using Dataset-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Bo Yang, Hong Qiu, | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Low-Dose CT Reconstruction Using Dataset-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Hong Qiu, , | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Low-Dose CT Reconstruction Using Dataset-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Hong Qiu, , | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Universal Prompt Optimizer for Safe Text-to-Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang | Summary: Text-to-Image (T2I) models have shown great performance in generating images based on textual prompts. However, these models are vulnerable to unsafe input to generate unsafe content like sexual, harassment and illegal-activity images. Existing studies based […]


Continue.. Universal Prompt Optimizer for Safe Text-to-Image Generation