Zobrazeno 1 - 10
of 313 359
pro vyhledávání: '"Huan An"'
Autor:
Gulimire Yaermaimaiti, Huan An, Abduhalik.Kadir, XueHui Rao, Chen Qin, Bumaliya Abulimiti, Mei Xiang
Publikováno v:
Results in Chemistry, Vol 7, Iss , Pp 101318- (2024)
Fluorescent sensors operating on the excited-state intramolecular proton transfer (ESIPT) mechanism have demonstrated excellent sensing performance owing to their attributes such as large Stokes shifts and excellent photostability. In the present stu
Externí odkaz:
https://doaj.org/article/f465a962c4a44a9ab600ada6ce3ed564
Video large language models (VLLMs) have significantly advanced recently in processing complex video content, yet their inference efficiency remains constrained because of the high computational cost stemming from the thousands of visual tokens gener
Externí odkaz:
http://arxiv.org/abs/2411.15024
Autor:
Zhang, Xin-Feng, Liu, Yuan-Fen, Luo, Huan-Bo, Liu, Bin, Dou, Fu-Quan, Li, Yongyao, Malomed, Boris A.
We investigate phase transitions of the ground state (GS) of spin-1 Bose-Einstein condensates under the combined action of the spin-orbit coupling (SOC) and gradient magnetic field. Introducing appropariate raising and lowering operators, we exactly
Externí odkaz:
http://arxiv.org/abs/2411.13938
Autor:
Kokane, Shirley, Zhu, Ming, Awalgaonkar, Tulika, Zhang, Jianguo, Hoang, Thai, Prabhakar, Akshara, Liu, Zuxin, Lan, Tian, Yang, Liangwei, Tan, Juntao, Murthy, Rithesh, Yao, Weiran, Liu, Zhiwei, Niebles, Juan Carlos, Wang, Huan, Heinecke, Shelby, Xiong, Caiming, Savarese, Silivo
Evaluating the output of Large Language Models (LLMs) is one of the most critical aspects of building a performant compound AI system. Since the output from LLMs propagate to downstream steps, identifying LLM errors is crucial to system performance.
Externí odkaz:
http://arxiv.org/abs/2411.13547
Autor:
Yu, Jiawei, Li, Yuang, Qiao, Xiaosong, Zhao, Huan, Zhao, Xiaofeng, Tang, Wei, Zhang, Min, Yang, Hao, Su, Jinsong
Text-to-speech (TTS) models have been widely adopted to enhance automatic speech recognition (ASR) systems using text-only corpora, thereby reducing the cost of labeling real speech data. Existing research primarily utilizes additional text data and
Externí odkaz:
http://arxiv.org/abs/2411.13159
We construct a minimal lattice model to provide an orbital description of lowest and first Landau levels. With the maximally localized Wannier functions with $s$, $p_-$, $p_+$ orbital characteristics, a three-orbital model is developed, where the low
Externí odkaz:
http://arxiv.org/abs/2411.13071
Social media discourse involves people from different backgrounds, beliefs, and motives. Thus, often such discourse can devolve into toxic interactions. Generative Models, such as Llama and ChatGPT, have recently exploded in popularity due to their c
Externí odkaz:
http://arxiv.org/abs/2411.13008
Autor:
Huang, Huan, Zhang, Hongliang, Yuan, Jide, Sun, Luyao, Wang, Yitian, Mei, Weidong, Di, Boya, Cai, Yi, Han, Zhu
Intelligent omni-surfaces (IOSs) with 360-degree electromagnetic radiation significantly improves the performance of wireless systems, while an adversarial IOS also poses a significant potential risk for physical layer security. In this paper, we pro
Externí odkaz:
http://arxiv.org/abs/2411.12985
Skeleton-based action recognition has achieved remarkable performance with the development of graph convolutional networks (GCNs). However, most of these methods tend to construct complex topology learning mechanisms while neglecting the inherent sym
Externí odkaz:
http://arxiv.org/abs/2411.12560
Autor:
Chu, Min-Huan, Bai, Haoyang, Hua, Jun, Liang, Jian, Ji, Xiangdong, Schafer, Andreas, Su, Yushan, Wang, Wei, Yang, Yi-Bo, Zeng, Jun, Zhang, Jian-Hui, Zhang, Qi-An
We calculate the leading-twist light-cone distribution amplitudes of the light $\Lambda$ baryon using lattice methods within the framework of large momentum effective theory. Our numerical computations are conducted employing $N_f=2+1$ stout smeared
Externí odkaz:
http://arxiv.org/abs/2411.12554