Zobrazeno 1 - 10
of 800
pro vyhledávání: '"LIU, Shaobo"'
With the rapid development of natural language processing technology, large language models have demonstrated exceptional performance in various application scenarios. However, training these models requires significant computational resources and da
Externí odkaz:
http://arxiv.org/abs/2410.19130
Autor:
Zheng, Shirong, Liu, Shaobo, Zhang, Zhenhong, Gu, Dian, Xia, Chunqiu, Pang, Huadong, Ampaw, Enock Mintah
With the advancement of global climate change and sustainable development goals, urban building energy consumption optimization and carbon emission reduction have become the focus of research. Traditional energy consumption prediction methods often l
Externí odkaz:
http://arxiv.org/abs/2410.15283
This research addresses privacy protection in Natural Language Processing (NLP) by introducing a novel algorithm based on differential privacy, aimed at safeguarding user data in common applications such as chatbots, sentiment analysis, and machine t
Externí odkaz:
http://arxiv.org/abs/2410.08553
This paper presents a novel approach to credit risk prediction by employing Graph Convolutional Neural Networks (GCNNs) to assess the creditworthiness of borrowers. Leveraging the power of big data and artificial intelligence, the proposed method add
Externí odkaz:
http://arxiv.org/abs/2410.04283
Pedestrian detection and tracking in crowded video sequences have a wide range of applications, including autonomous driving, robot navigation and pedestrian flow surveillance. However, detecting and tracking pedestrians in high-density crowds face m
Externí odkaz:
http://arxiv.org/abs/2408.05877
This paper explores multi-scenario optimization on large platforms using multi-agent reinforcement learning (MARL). We address this by treating scenarios like search, recommendation, and advertising as a cooperative, partially observable multi-agent
Externí odkaz:
http://arxiv.org/abs/2407.02759
Multivariate equivalence testing is needed in a variety of scenarios for drug development. For example, drug products obtained from natural sources may contain many components for which the individual effects and/or their interactions on clinical eff
Externí odkaz:
http://arxiv.org/abs/2406.03596
In a society where traffic accidents frequently occur, fatigue driving has emerged as a grave issue. Fatigue driving detection technology, especially those based on the YOLOv8 deep learning model, has seen extensive research and application as an eff
Externí odkaz:
http://arxiv.org/abs/2406.18575
Autor:
Wei, Xinjian, Tian, Congkuan, Cui, Hang, Zhai, Yuxin, Li, Yongkai, Liu, Shaobo, Song, Yuanjun, Feng, Ya, Huang, Miaoling, Wang, Zhiwei, Liu, Yi, Xiong, Qihua, Yao, Yugui, Xie, X. C., Chen, Jian-Hao
Transition metal compounds with kagome structure have been found to exhibit a variety of exotic structural, electronic, and magnetic orders. These orders are competing with energies very close to each other, resulting in complex phase transitions. So
Externí odkaz:
http://arxiv.org/abs/2405.04059
Autor:
Liu, Yanming, Peng, Xinyue, Bo, Shi, Sang, Ningjing, Yan, Yafeng, Ke, Xiaolan, Zheng, Zhiting, Liu, Shaobo, Deng, Songhang, Cao, Jiannan, Dai, Le, Liu, Xingzu, Nong, Ruilin, Liu, Weihao
Large language models(LLMs) have shown its outperforming ability on various tasks and question answering. However, LLMs require substantial memory storage on low-resource devices. More critically, the computational speed on these devices is also seve
Externí odkaz:
http://arxiv.org/abs/2403.07088