Zobrazeno 1 - 10
of 11 325
pro vyhledávání: '"Zhang, XinYu"'
We study the global symmetries of the $\mathbb{Z}_2$-orbifold of N=4 Super-Yang-Mills theory and its marginal deformations. The process of orbifolding to obtain an N=2 theory would appear to break the $\mathrm{SU}(4)$ R-symmetry down to $\mathrm{SU}(
Externí odkaz:
http://arxiv.org/abs/2411.11612
Autor:
Yang, Lei, Zhang, Xinyu, Li, Jun, Wang, Chen, Song, Zhiying, Zhao, Tong, Song, Ziying, Wang, Li, Zhou, Mo, Shen, Yang, Wu, Kai, Lv, Chen
Modern autonomous vehicle perception systems often struggle with occlusions and limited perception range. Previous studies have demonstrated the effectiveness of cooperative perception in extending the perception range and overcoming occlusions, ther
Externí odkaz:
http://arxiv.org/abs/2411.10962
The Structured Dialogue System, referred to as SuDoSys, is an innovative Large Language Model (LLM)-based chatbot designed to provide psychological counseling. SuDoSys leverages the World Health Organization (WHO)'s Problem Management Plus (PM+) guid
Externí odkaz:
http://arxiv.org/abs/2411.10681
Vibrometry-based side channels pose a significant privacy risk, exploiting sensors like mmWave radars, light sensors, and accelerometers to detect vibrations from sound sources or proximate objects, enabling speech eavesdropping. Despite various prop
Externí odkaz:
http://arxiv.org/abs/2411.10034
Autor:
Xu, Wenchao, Zhang, Xinyu
Asymptotic optimality is a key theoretical property in model averaging. Due to technical difficulties, existing studies rely on restricted weight sets or the assumption that there is no true model with fixed dimensions in the candidate set. The focus
Externí odkaz:
http://arxiv.org/abs/2411.09258
We consider data-driven inventory and pricing decisions in the feature-based newsvendor problem, where demand is influenced by both price and contextual features and is modeled without any structural assumptions. The unknown demand distribution resul
Externí odkaz:
http://arxiv.org/abs/2411.08631
The available data in semi-supervised learning usually consists of relatively small sized labeled data and much larger sized unlabeled data. How to effectively exploit unlabeled data is the key issue. In this paper, we write the regression function i
Externí odkaz:
http://arxiv.org/abs/2411.07617
Human understanding of language is robust to different word choices as far as they represent similar semantic concepts. To what extent does our human intuition transfer to language models, which represent all subwords as distinct embeddings? In this
Externí odkaz:
http://arxiv.org/abs/2411.04530
Autor:
Sun, Yanpeng, Zhang, Huaxin, Chen, Qiang, Zhang, Xinyu, Sang, Nong, Zhang, Gang, Wang, Jingdong, Li, Zechao
We focus on improving the visual understanding capability for boosting the vision-language models. We propose \textbf{Arcana}, a multiModal language model, which introduces two crucial techniques. First, we present Multimodal LoRA (MM-LoRA), a module
Externí odkaz:
http://arxiv.org/abs/2410.13733
Urban intersections, dense with pedestrian and vehicular traffic and compounded by GPS signal obstructions from high-rise buildings, are among the most challenging areas in urban traffic systems. Traditional single-vehicle intelligence systems often
Externí odkaz:
http://arxiv.org/abs/2410.11008