Zobrazeno 1 - 10
of 8 250
pro vyhledávání: '"An-Lin Tao"'
We investigate time delays of gravitational wave and scalar wave scatterings around black hole backgrounds in scalar-Gauss-Bonnet effective field theories of gravity. By requiring infrared causality, we impose a lower bound on the cutoff scale of the
Externí odkaz:
http://arxiv.org/abs/2410.10973
In recent years, the study of adversarial robustness in object detection systems, particularly those based on deep neural networks (DNNs), has become a pivotal area of research. Traditional physical attacks targeting object detectors, such as adversa
Externí odkaz:
http://arxiv.org/abs/2410.10091
Collaborative learning of large language models (LLMs) has emerged as a new paradigm for utilizing private data from different parties to guarantee efficiency and privacy. Meanwhile, Knowledge Editing (KE) for LLMs has also garnered increased attenti
Externí odkaz:
http://arxiv.org/abs/2410.09508
Enhancing the adaptive capabilities of large language models is a critical pursuit in both research and application. Traditional fine-tuning methods require substantial data and computational resources, especially for enhancing specific capabilities,
Externí odkaz:
http://arxiv.org/abs/2410.09343
Autor:
Li, Yadong, Sun, Haoze, Lin, Mingan, Li, Tianpeng, Dong, Guosheng, Zhang, Tao, Ding, Bowen, Song, Wei, Cheng, Zhenglin, Huo, Yuqi, Chen, Song, Li, Xu, Pan, Da, Zhang, Shusen, Wu, Xin, Liang, Zheng, Liu, Jun, Lu, Keer, Zhao, Yaqi, Shen, Yanjun, Yang, Fan, Yu, Kaicheng, Lin, Tao, Xu, Jianhua, Zhou, Zenan, Chen, Weipeng
The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical role in practical applications, yet it lacks a high-performing open-source counterpart. In this paper, we introduce Baichuan-Omni, the first open-source 7
Externí odkaz:
http://arxiv.org/abs/2410.08565
Classical information design models (e.g., Bayesian persuasion and cheap talk) require players to have perfect knowledge of the prior distribution of the state of the world. Our paper studies repeated persuasion problems in which the information desi
Externí odkaz:
http://arxiv.org/abs/2410.05533
The Circular Electron Positron Collider (CEPC) is a future Higgs factory to measure the Higgs boson properties. Like the other future experiments, the simulation software plays a crucial role in CEPC for detector designs, algorithm optimization and p
Externí odkaz:
http://arxiv.org/abs/2409.19714
In collider physics experiments, particle identification (PID), i. e. the identification of the charged particle species in the detector is usually one of the most crucial tools in data analysis. In the past decade, machine learning techniques have g
Externí odkaz:
http://arxiv.org/abs/2408.13812
Autor:
Lin, Tao, Yin, Weiqing
The Jiangmen Underground Neutrino Observatory (JUNO) is currently under construction and the installation of detector will be completed by end of 2024. A series of JUNO Data Challenges are proposed to evaluate and validate the complete data processin
Externí odkaz:
http://arxiv.org/abs/2408.00959
Recommender systems present relevant contents to users and help content creators reach their target audience. The dual nature of these systems influences both users and creators: users' preferences are affected by the items they are recommended, whil
Externí odkaz:
http://arxiv.org/abs/2407.14094