Zobrazeno 1 - 10
of 305 068
pro vyhledávání: '"An Cong An"'
Kagome materials have been found to exhibit exotic physical properties such as spin frustration, charge density waves, and unconventional superconductivity. However, the number of materials with kagome lattice-related properties discovered so far is
Externí odkaz:
http://arxiv.org/abs/2410.08501
Safety-critical scenarios are infrequent in natural driving environments but hold significant importance for the training and testing of autonomous driving systems. The prevailing approach involves generating safety-critical scenarios automatically i
Externí odkaz:
http://arxiv.org/abs/2410.08453
Autor:
Liu, Ao-Xiang, Qiao, Cong-Feng
The coherence transformation is pivotal for quantum technologies, which cannot always be accomplished deterministically. We investigate the probabilistic coherence transformation under strictly incoherent operations. To this end, by virtue of majoriz
Externí odkaz:
http://arxiv.org/abs/2410.08095
We propose a quantitative direct method of proving the local stability for the trivial solution of a rough differential equation and of its regular discretization scheme. Using Doss-Sussmann technique and stopping time analysis, we prove that the tri
Externí odkaz:
http://arxiv.org/abs/2410.07842
Multi-task learning (MTL) benefits the fine-tuning of large language models (LLMs) by providing a single model with improved performance and generalization ability across tasks, presenting a resource-efficient alternative to developing separate model
Externí odkaz:
http://arxiv.org/abs/2410.06741
Autor:
Chen, Guoxin, Zhang, Zhong, Cong, Xin, Guo, Fangda, Wu, Yesai, Lin, Yankai, Feng, Wenzheng, Wang, Yasheng
Tool learning enables large language models (LLMs) to interact with external tools and APIs, greatly expanding the application scope of LLMs. However, due to the dynamic nature of external environments, these tools and APIs may become outdated over t
Externí odkaz:
http://arxiv.org/abs/2410.06617
Autor:
Liao, Jie, Chang, Ning, Cui, Lang, Jiang, Pengfei, Mou, Didong, Huang, Yongfeng, An, Tao, Ho, Luis C., Feng, Hua, Fu, Yu-Cong, Cao, Hongmin, Liu, Xiang
Type-C quasi-periodic oscillations (QPOs) in black hole X-ray transients typically manifest in the low-hard and hard-intermediate states. This study presents a detailed spectral and temporal analysis of the black hole candidate Swift J1727.8-1613 usi
Externí odkaz:
http://arxiv.org/abs/2410.06574
Autor:
Luo, Wenshui, Liu, Haoyu, Ding, Yongliang, Zhou, Tao, wan, Sheng, Wu, Runze, Lin, Minmin, Zhang, Cong, Fan, Changjie, Gong, Chen
Rank aggregation through crowdsourcing has recently gained significant attention, particularly in the context of listwise ranking annotations. However, existing methods primarily focus on a single problem and partial ranks, while the aggregation of l
Externí odkaz:
http://arxiv.org/abs/2410.07538
Gyroscopes are crucial for accurate angular velocity measurements in navigation, stabilization, and control systems. MEMS gyroscopes offer advantages like compact size and low cost but suffer from errors and inaccuracies that are complex and time var
Externí odkaz:
http://arxiv.org/abs/2410.07519
Autor:
Guo, Cong, Cheng, Feng, Du, Zhixu, Kiessling, James, Ku, Jonathan, Li, Shiyu, Li, Ziru, Ma, Mingyuan, Molom-Ochir, Tergel, Morris, Benjamin, Shan, Haoxuan, Sun, Jingwei, Wang, Yitu, Wei, Chiyue, Wu, Xueying, Wu, Yuhao, Yang, Hao Frank, Zhang, Jingyang, Zhang, Junyao, Zheng, Qilin, Zhou, Guanglei, Hai, Li, Chen, Yiran
The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language processing and moving towards multi-modal functionality. These models
Externí odkaz:
http://arxiv.org/abs/2410.07265