Zobrazeno 1 - 10
of 20 140
pro vyhledávání: '"Yang , Zhao"'
Cross-View Geo-Localization (CVGL) involves determining the localization of drone images by retrieving the most similar GPS-tagged satellite images. However, the imaging gaps between platforms are often significant and the variations in viewpoints ar
Externí odkaz:
http://arxiv.org/abs/2412.14819
The AI safety literature is full of examples of powerful AI agents that, in blindly pursuing a specific and usually narrow objective, ends up with unacceptable and even catastrophic collateral damage to others. In this paper, we consider the problem
Externí odkaz:
http://arxiv.org/abs/2412.02091
An induced matching in a graph is a set of edges whose endpoints induce a $1$-regular subgraph. Gupta et al. (2012,\cite{Gupta}) showed that every $n$-vertex graph has at most $10^{\frac{n}{5}}\approx 1.5849^n$ maximal induced matchings, which is att
Externí odkaz:
http://arxiv.org/abs/2410.11288
In the current digital era, high security relies significantly on advanced concepts such as native security. However, the design and implementation of these concepts face challenges in enterprises and organizations. Leveraging advancements in Large L
Externí odkaz:
http://arxiv.org/abs/2410.10248
We prove that all irrotational planar periodic traveling waves of sufficiently small-amplitude are spectrally unstable as solutions to three-dimensional inviscid finite-depth gravity water-waves equations.
Comment: 29 pages, 1 figure
Comment: 29 pages, 1 figure
Externí odkaz:
http://arxiv.org/abs/2409.01663
Reinforcement learning (RL) is an appealing paradigm for training intelligent agents, enabling policy acquisition from the agent's own autonomously acquired experience. However, the training process of RL is far from automatic, requiring extensive hu
Externí odkaz:
http://arxiv.org/abs/2408.09807
Autor:
Liu, Guo-Zhu, Yang, Zhao-Kun, Pan, Xiao-Yin, Wang, Jing-Rong, Li, Xin, Zhu, Hao-Fu, Huang, Jie
Publikováno v:
Phys. Rev. B 110, 026502 (2024)
In a series of papers, we have proposed a non-perturbative field-theoretic approach to deal with strong electron-phonon and strong Coulomb interactions. The key ingredient of such an approach is to determine the full fermion-boson vertex corrections
Externí odkaz:
http://arxiv.org/abs/2408.03857
Autor:
Yang-Zhao, Samuel, Ng, Kee Siong
We consider the problem of privacy protection in Reinforcement Learning (RL) algorithms that operate over population processes, a practical but understudied setting that includes, for example, the control of epidemics in large populations of dynamica
Externí odkaz:
http://arxiv.org/abs/2406.17649
Autor:
Liu, Deyuan, Qin, Zhanyue, Wang, Hairu, Yang, Zhao, Wang, Zecheng, Rong, Fangying, Liu, Qingbin, Hao, Yanchao, Chen, Xi, Fan, Cunhang, Lv, Zhao, Tu, Zhiying, Chu, Dianhui, Li, Bo, Sui, Dianbo
While large language models (LLMs) excel in many domains, their complexity and scale challenge deployment in resource-limited environments. Current compression techniques, such as parameter pruning, often fail to effectively utilize the knowledge fro
Externí odkaz:
http://arxiv.org/abs/2406.16330
In the Retrieval-Augmented Generation (RAG) system, advanced Large Language Models (LLMs) have emerged as effective Query Likelihood Models (QLMs) in an unsupervised way, which re-rank documents based on the probability of generating the query given
Externí odkaz:
http://arxiv.org/abs/2406.13331