Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Claudia Cornella, David Curtin, Gordan Krnjaic, Micah Mellors, | Summary: The Froggatt-Nielsen (FN) mechanism offers an elegant explanation for the observed masses and mixings of Standard Model fermions. In this work, we systematically study FN models in the lepton sector, identifying a broad range of charge assignments […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang | Summary: Video Large Language Models (Video LLMs) have recently exhibited remarkable capabilities in general video understanding. However, they mainly focus on holistic comprehension and struggle with capturing fine-grained spatial and temporal details. Besides, the lack […]
Kavli Affiliate: Jing Wang | First 5 Authors: Zhenpeng Huang, Xinhao Li, Jiaqi Li, Jing Wang, Xiangyu Zeng | Summary: Multimodal Large Language Models (MLLMs) have shown significant progress in offline video understanding. However, applying these models to real-world scenarios, such as autonomous driving and human-computer interaction, presents unique challenges due to the need for […]
Kavli Affiliate: Misao Sasaki | First 5 Authors: Shi Pi, Misao Sasaki, Volodymyr Takhistov, Jianing Wang, | Summary: Primordial Black Holes (PBHs) can form from gravitational collapse of large overdensities in the early Universe, giving rise to rich phenomena in astrophysics and cosmology. We develop a novel, general, and accurate method based on theory of […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Wei Chen, Yi Zhou, , , | Summary: In the realm of class-incremental learning (CIL), alleviating the catastrophic forgetting problem is a pivotal challenge. This paper discovers a counter-intuitive observation: by incorporating domain shift into CIL tasks, the forgetting rate is significantly reduced. Our comprehensive studies demonstrate […]