Kavli Affiliate: Long Zhang | First 5 Authors: Yin Yang, Yin Yang, , , | Summary: We develop a quantum algorithm for linear algebraic equations Ax=b from the perspective of Schr"odingerization-form problems, which are characterized by a system of linear convection equations in one higher dimension. When A is positive definite, the solution x can […]
Kavli Affiliate: Long Zhang | First 5 Authors: Fei Huang, Fei Huang, , , | Summary: GeoGPT is an open large language model system built to advance research in the geosciences. To enhance its domain-specific capabilities, we integrated Retrieval Augmented Generation(RAG), which augments model outputs with relevant information retrieved from an external knowledge source. GeoGPT […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yun Wang, Yun Wang, , , | Summary: Video Large Language Models (Video-LLMs) excel at general video understanding but struggle with long-form videos due to context window limits. Consequently, recent approaches focus on keyframe retrieval, condensing lengthy videos into a small set of informative frames. Despite their […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Kaiwen Huang, Kaiwen Huang, , , | Summary: Semi-supervised learning has gained considerable popularity in medical image segmentation tasks due to its capability to reduce reliance on expert-examined annotations. Several mean-teacher (MT) based semi-supervised methods utilize consistency regularization to effectively leverage valuable information from unlabeled data. However, […]
Kavli Affiliate: Long Zhang | First 5 Authors: Anxiang Zeng, Anxiang Zeng, , , | Summary: Recent R1-Zero-like research further demonstrates that reasoning extension has given large language models (LLMs) unprecedented reasoning capabilities, and Reinforcement Learning is the core technology to elicit its complex reasoning. However, conducting RL experiments directly on hyperscale models involves high […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchu Jiang, Yuchu Jiang, , , | Summary: The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, that pose significant societal risks, including misinformation, inequity, security breaches, physical harm, and eroded public trust. […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchu Jiang, Yuchu Jiang, , , | Summary: The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, that pose significant societal risks, including misinformation, inequity, security breaches, physical harm, and eroded public trust. […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaojun Ni, Chaojun Ni, , , | Summary: Reinforcement learning for training end-to-end autonomous driving models in closed-loop simulations is gaining growing attention. However, most simulation environments differ significantly from real-world conditions, creating a substantial simulation-to-reality (sim2real) gap. To bridge this gap, some approaches utilize scene reconstruction […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaojun Ni, Chaojun Ni, , , | Summary: Reinforcement learning for training end-to-end autonomous driving models in closed-loop simulations is gaining growing attention. However, most simulation environments differ significantly from real-world conditions, creating a substantial simulation-to-reality (sim2real) gap. To bridge this gap, some approaches utilize scene reconstruction […]
Kavli Affiliate: Masahiro Nozaki | Summary:In this paper, we investigate the entanglement dynamics induced by a composite operator, defined as the local operator evolved with the time evolution operator constructed of the Euclidean and Lorentzian ones. The systems under consideration are described by two-dimensional holographic conformal field theories (2d holographic CFTs), the theories described by […]