Zobrazeno 1 - 10
of 7 210
pro vyhledávání: '"Huang, Xu"'
Autor:
Zhao, Yuan-Sheng, Huang, Xu-Guang
Publikováno v:
Chin. Phys. C48, 084103 (2024)
The chiral magnetic wave (CMW) is a collective mode in quark-gluon plasma originated from the chiral magnetic effect (CME) and chiral separation effect. Its detection in heavy-ion collisions is challenging due to significant background contamination.
Externí odkaz:
http://arxiv.org/abs/2407.00926
In this paper, we explore the properties of the bottom-quark on-shell mass ($M_b$) by using its relation to the $\overline{\rm MS}$ mass (${\overline m}_b$). At present, this $\overline{\rm MS}$-on-shell relation has been known up to four-loop QCD co
Externí odkaz:
http://arxiv.org/abs/2406.18025
Split learning, as one of the most common architectures in vertical federated learning, has gained widespread use in industry due to its privacy-preserving characteristics. In this architecture, the party holding the labels seeks cooperation from oth
Externí odkaz:
http://arxiv.org/abs/2405.17042
Autor:
Huang, Xu
We record a particularly simple construction on top of Lumsdaine's local universes that allows for a Coquand-style universe of propositions with propositional extensionality to be interpreted in a category with subobject classifiers.
Comment: 5
Comment: 5
Externí odkaz:
http://arxiv.org/abs/2405.13435
Autor:
Wang, Xingmei, Liu, Weiwen, Chen, Xiaolong, Liu, Qi, Huang, Xu, Lian, Defu, Li, Xiangyang, Wang, Yasheng, Dong, Zhenhua, Tang, Ruiming
Click-Through Rate (CTR) prediction holds a paramount position in recommender systems. The prevailing ID-based paradigm underperforms in cold-start scenarios due to the skewed distribution of feature frequency. Additionally, the utilization of a sing
Externí odkaz:
http://arxiv.org/abs/2405.10596
Feature matching determines the orientation accuracy for the High Spatial Resolution (HSR) optical satellite stereos, subsequently impacting several significant applications such as 3D reconstruction and change detection. However, the matching of off
Externí odkaz:
http://arxiv.org/abs/2405.06246
Autor:
Huang, Xu, Liu, Weiwen, Chen, Xiaolong, Wang, Xingmei, Lian, Defu, Wang, Yasheng, Tang, Ruiming, Chen, Enhong
Recently, large language models (LLMs) have demonstrated remarkable potential as an intelligent agent. However, existing researches mainly focus on enhancing the agent's reasoning or decision-making abilities through well-designed prompt engineering
Externí odkaz:
http://arxiv.org/abs/2404.07456
Motivated by the pair-density-wave (PDW) state found in the one-dimensional Kondo-Heisenberg chain, we report on a determinant quantum Monte Carlo DQMC study of pair-fields for a two-dimensional half-filled Hubbard layer coupled to an itinerant, non-
Externí odkaz:
http://arxiv.org/abs/2404.01389
Autor:
Ding, Daijun, Dong, Li, Huang, Zhichao, Xu, Guangning, Huang, Xu, Liu, Bo, Jing, Liwen, Zhang, Bowen
Stance detection aims to determine the attitude expressed in text towards a given target. Zero-shot stance detection (ZSSD) has emerged to classify stances towards unseen targets during inference. Recent data augmentation techniques for ZSSD increase
Externí odkaz:
http://arxiv.org/abs/2403.15715
This paper introduces RecAI, a practical toolkit designed to augment or even revolutionize recommender systems with the advanced capabilities of Large Language Models (LLMs). RecAI provides a suite of tools, including Recommender AI Agent, Recommenda
Externí odkaz:
http://arxiv.org/abs/2403.06465