Zobrazeno 1 - 10
of 9 799
pro vyhledávání: '"SHI, Yang"'
Autor:
Li, Lincan, Li, Jiaqi, Chen, Catherine, Gui, Fred, Yang, Hongjia, Yu, Chenxiao, Wang, Zhengguang, Cai, Jianing, Zhou, Junlong Aaron, Shen, Bolin, Qian, Alex, Chen, Weixin, Xue, Zhongkai, Sun, Lichao, He, Lifang, Chen, Hanjie, Ding, Kaize, Du, Zijian, Mu, Fangzhou, Pei, Jiaxin, Zhao, Jieyu, Swayamdipta, Swabha, Neiswanger, Willie, Wei, Hua, Hu, Xiyang, Zhu, Shixiang, Chen, Tianlong, Lu, Yingzhou, Shi, Yang, Qin, Lianhui, Fu, Tianfan, Tu, Zhengzhong, Yang, Yuzhe, Yoo, Jaemin, Zhang, Jiaheng, Rossi, Ryan, Zhan, Liang, Zhao, Liang, Ferrara, Emilio, Liu, Yan, Huang, Furong, Zhang, Xiangliang, Rothenberg, Lawrence, Ji, Shuiwang, Yu, Philip S., Zhao, Yue, Dong, Yushun
In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and misinformation detection. Meanwhile, the need to systematically understan
Externí odkaz:
http://arxiv.org/abs/2412.06864
Autor:
Zhang, Yutong, Chen, Lixing, Li, Shenghong, Cao, Nan, Shi, Yang, Ding, Jiaxin, Qu, Zhe, Zhou, Pan, Bai, Yang
Large language models (LLMs) have demonstrated exceptional performance across a wide variety of domains. Nonetheless, generalist LLMs continue to fall short in reasoning tasks necessitating specialized knowledge. Prior investigations into specialized
Externí odkaz:
http://arxiv.org/abs/2411.19064
In order to address the nonlinear multi-agent formation tracking control problem with input constraints and unknown communication faults, a novel adaptive distributed observer-based distributed model predictive control method is developed in this pap
Externí odkaz:
http://arxiv.org/abs/2410.23592
The cooperation of a pair of robot manipulators is required to manipulate a target object without any fixtures. The conventional control methods coordinate the end-effector pose of each manipulator with that of the other using their kinematics and jo
Externí odkaz:
http://arxiv.org/abs/2410.19432
Autor:
Shi, Yang, Chung, Young-joo
Existing group recommender systems utilize attention mechanisms to identify critical users who influence group decisions the most. We analyzed user attention scores from a widely-used group recommendation model on a real-world E-commerce dataset and
Externí odkaz:
http://arxiv.org/abs/2410.02074
An important question in data-driven control is how to obtain an informative dataset. In this work, we consider the problem of effective data acquisition of an unknown linear system with bounded disturbance for both open-loop and closed-loop stages.
Externí odkaz:
http://arxiv.org/abs/2409.15708
Decentralized optimization has become a standard paradigm for solving large-scale decision-making problems and training large machine learning models without centralizing data. However, this paradigm introduces new privacy and security risks, with ma
Externí odkaz:
http://arxiv.org/abs/2408.08628
In recent years, Approximate Nearest Neighbor Search (ANNS) has played a pivotal role in modern search and recommendation systems, especially in emerging LLM applications like Retrieval-Augmented Generation. There is a growing exploration into harnes
Externí odkaz:
http://arxiv.org/abs/2408.02937
This paper studies the problem of multi-agent trajectory prediction in crowded unknown environments. A novel energy function optimization-based framework is proposed to generate prediction trajectories. Firstly, a new energy function is designed for
Externí odkaz:
http://arxiv.org/abs/2407.09068
Students interactions while solving problems in learning environments (i.e. log data) are often used to support students learning. For example, researchers use log data to develop systems that can provide students with personalized problem recommenda
Externí odkaz:
http://arxiv.org/abs/2407.17475