Testing the Froggatt-Nielsen Mechanism with Lepton Violation

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 […]


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VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

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 […]


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Online Video Understanding: A Comprehensive Benchmark and Memory-Augmented Method

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 […]


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Primordial Black Hole Formation from Power Spectrum with Finite-width

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 […]


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Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning

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 […]


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Higher-Dimensional Black Holes and Effective Field Theory

Kavli Affiliate: Austin Joyce | First 5 Authors: Daniel Glazer, Austin Joyce, Maria J. Rodriguez, Luca Santoni, Adam R. Solomon | Summary: We study the scalar tidal responses of spinning higher-dimensional black holes, and their effective field theory description. After constructing the effective field theory of a spinning point particle in general dimension, we apply […]


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Harish-Chandra’s admissibility theorem and beyond

Kavli Affiliate: Toshiyuki Kobayashi | First 5 Authors: Toshiyuki Kobayashi, , , , | Summary: This article is a record of the lecture at the centennial conference for Harish-Chandra. The admissibility theorem of Harish-Chandra concerns the restrictions of irreducible representations to maximal compact subgroups. In this article, we begin with a brief explanation of two […]


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Natural Language Fine-Tuning

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Yue Wang, Zhiqi Lin, Min Chen, Yixue Hao | Summary: Large language model fine-tuning techniques typically depend on extensive labeled data, external guidance, and feedback, such as human alignment, scalar rewards, and demonstration. However, in practical application, the scarcity of specific knowledge poses unprecedented challenges […]


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Emittance Minimization for Aberration Correction I: Aberration correction of an electron microscope without knowing the aberration coefficients

Kavli Affiliate: David A. Muller | First 5 Authors: Desheng Ma, Steven E. Zeltmann, Chenyu Zhang, Zhaslan Baraissov, Yu-Tsun Shao | Summary: Precise alignment of the electron beam is critical for successful application of scanning transmission electron microscopes (STEM) to understanding materials at atomic level. Despite the success of aberration correctors, aberration correction is still […]


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Emittance Minimization for Aberration Correction II: Physics-informed Bayesian Optimization of an Electron Microscope

Kavli Affiliate: David A. Muller | First 5 Authors: Desheng Ma, Steven E. Zeltmann, Chenyu Zhang, Zhaslan Baraissov, Yu-Tsun Shao | Summary: Aberration-corrected Scanning Transmission Electron Microscopy (STEM) has become an essential tool in understanding materials at the atomic scale. However, tuning the aberration corrector to produce a sub-{AA}ngstr"om probe is a complex and time-costly […]


Continue.. Emittance Minimization for Aberration Correction II: Physics-informed Bayesian Optimization of an Electron Microscope