Zobrazeno 1 - 10
of 131 130
pro vyhledávání: '"Dou, A."'
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:
Wang, Bingzhe, Qian, Ruohan, Dou, Yuejia, Qi, Qi, Shen, Bo, Li, Changyuan, Zhang, Yixuan, Su, Yixin, Yuan, Xin, liu, Wenqiang, Zou, Bin, Yi, Wen, Guo, Zhi, Li, Shuanglong, Lin, Liu
The autobidding system generates huge revenue for advertising platforms, garnering substantial research attention. Existing studies in autobidding systems focus on designing Autobidding Incentive Compatible (AIC) mechanisms, where the mechanism is In
Externí odkaz:
http://arxiv.org/abs/2411.13162
In this paper, we address the problem of feature selection in the context of multi-label learning, by using a new estimator based on implicit regularization and label embedding. Unlike the sparse feature selection methods that use a penalized estimat
Externí odkaz:
http://arxiv.org/abs/2411.11436
Autor:
Zhao, Huaqin, Li, Jiaxi, Pan, Yi, Liang, Shizhe, Yang, Xiaofeng, Liu, Wei, Li, Xiang, Dou, Fei, Liu, Tianming, Lu, Jin
Fine-tuning large language models (LLMs) poses significant memory challenges, as the back-propagation process demands extensive resources, especially with growing model sizes. Recent work, MeZO, addresses this issue using a zeroth-order (ZO) optimiza
Externí odkaz:
http://arxiv.org/abs/2411.10696
Light-spin coupling is an attractive phenomenon from the standpoints of fundamental physics and device applications, and has spurred rapid development recently. Whereas the current efforts are devoted to trivial magnetism, the interplay between light
Externí odkaz:
http://arxiv.org/abs/2411.07626
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
The emergence of Large Language Models (LLMs) has significantly advanced natural language processing, but these models often generate factually incorrect information, known as "hallucination". Initial retrieval-augmented generation (RAG) methods like
Externí odkaz:
http://arxiv.org/abs/2411.06805
Autor:
Ma, Tao, Zhou, Hongbin, Huang, Qiusheng, Yang, Xuemeng, Guo, Jianfei, Zhang, Bo, Dou, Min, Qiao, Yu, Shi, Botian, Li, Hongsheng
Offboard perception aims to automatically generate high-quality 3D labels for autonomous driving (AD) scenes. Existing offboard methods focus on 3D object detection with closed-set taxonomy and fail to match human-level recognition capability on the
Externí odkaz:
http://arxiv.org/abs/2411.05311
Autor:
Zhao, Xian-Song, Yu, Chao, Wang, Chong, Li, Tianyi, Liu, Bo, Lu, Hai, Zhang, Rong, Dou, Xiankang, Zhang, Jun, Pan, Jian-Wei
Differential absorption Lidar (DIAL) in the ultraviolet (UV) region is an effective approach for monitoring tropospheric ozone. 4H-SiC single-photon detectors (SPDs) are emergent devices for UV single-photon detection. Here, we demonstrate a 4H-SiC S
Externí odkaz:
http://arxiv.org/abs/2411.04373
Autor:
Deng, Zhirui, Dou, Zhicheng, Zhu, Yutao, Wen, Ji-Rong, Xiong, Ruibin, Wang, Mang, Chen, Weipeng
The outstanding capabilities of large language models (LLMs) render them a crucial component in various autonomous agent systems. While traditional methods depend on the inherent knowledge of LLMs without fine-tuning, more recent approaches have shif
Externí odkaz:
http://arxiv.org/abs/2411.03817
Retrieval-Augmented Generation (RAG) has been shown to improve knowledge capabilities and alleviate the hallucination problem of LLMs. The Web is a major source of external knowledge used in RAG systems, and many commercial systems such as ChatGPT an
Externí odkaz:
http://arxiv.org/abs/2411.02959