Zobrazeno 1 - 10
of 455
pro vyhledávání: '"Feng Siyuan"'
Autor:
Ozaki, Shintaro, Kato, Yuta, Feng, Siyuan, Tomita, Masayo, Hayashi, Kazuki, Obara, Ryoma, Oyamada, Masafumi, Hayashi, Katsuhiko, Kamigaito, Hidetaka, Watanabe, Taro
Retrieval Augmented Generation (RAG) complements the knowledge of Large Language Models (LLMs) by leveraging external information to enhance response accuracy for queries. This approach is widely applied in several fields by taking its advantage of i
Externí odkaz:
http://arxiv.org/abs/2412.20309
Today, manga has gained worldwide popularity. However, the question of how various elements of manga, such as characters, text, and panel layouts, reflect the uniqueness of a particular work, or even define it, remains an unexplored area. In this pap
Externí odkaz:
http://arxiv.org/abs/2412.19141
Autor:
Ruan, Charlie F., Qin, Yucheng, Zhou, Xun, Lai, Ruihang, Jin, Hongyi, Dong, Yixin, Hou, Bohan, Yu, Meng-Shiun, Zhai, Yiyan, Agarwal, Sudeep, Cao, Hangrui, Feng, Siyuan, Chen, Tianqi
Advancements in large language models (LLMs) have unlocked remarkable capabilities. While deploying these models typically requires server-grade GPUs and cloud-based inference, the recent emergence of smaller open-source models and increasingly power
Externí odkaz:
http://arxiv.org/abs/2412.15803
Autor:
Hou, Yifan, Liu, Zeyi, Chi, Cheng, Cousineau, Eric, Kuppuswamy, Naveen, Feng, Siyuan, Burchfiel, Benjamin, Song, Shuran
Compliance plays a crucial role in manipulation, as it balances between the concurrent control of position and force under uncertainties. Yet compliance is often overlooked by today's visuomotor policies that solely focus on position control. This pa
Externí odkaz:
http://arxiv.org/abs/2410.09309
Autor:
Kress-Gazit, Hadas, Hashimoto, Kunimatsu, Kuppuswamy, Naveen, Shah, Paarth, Horgan, Phoebe, Richardson, Gordon, Feng, Siyuan, Burchfiel, Benjamin
The robot learning community has made great strides in recent years, proposing new architectures and showcasing impressive new capabilities; however, the dominant metric used in the literature, especially for physical experiments, is "success rate",
Externí odkaz:
http://arxiv.org/abs/2409.09491
Autor:
Zhou, Yangjie, Zhu, Honglin, Qiu, Qian, Cui, Weihao, Liu, Zihan, Guo, Cong, Feng, Siyuan, Meng, Jintao, Lan, Haidong, Leng, Jingwen, Zhu, Wenxi, Deng, Minwen
Dynamic-shape deep neural networks (DNNs) are rapidly evolving, attracting attention for their ability to handle variable input sizes in real-time applications. However, existing compilation optimization methods for such networks often rely heavily o
Externí odkaz:
http://arxiv.org/abs/2409.01075
Autor:
Cheng, Xi, Su, Gaofeng, Feng, Siyuan, Liu, Ke, Zhu, Chen, Lin, Hui, Song, Jilin, Chen, Jianan
Parking challenges escalate significantly during large events such as concerts or sports games, yet few studies address dynamic parking lot assignments for such occasions. This paper introduces a smart navigation system designed to optimize parking a
Externí odkaz:
http://arxiv.org/abs/2406.05135
Autor:
Su, Gaofeng, Cheng, Xi, Feng, Siyuan, Liu, Ke, Song, Jilin, Chen, Jianan, Zhu, Chen, Lin, Hui
This paper is based on a crucial issue in the aviation world: how to optimize the trajectory and controls given to the aircraft in order to optimize flight time and fuel consumption. This study aims to provide elements of a response to this problem a
Externí odkaz:
http://arxiv.org/abs/2405.08306
Autor:
Liu, Ke, Hu, Fan, Lin, Hui, Cheng, Xi, Chen, Jianan, Song, Jilin, Feng, Siyuan, Su, Gaofeng, Zhu, Chen
This paper explores the optimization of Ground Delay Programs (GDP), a prevalent Traffic Management Initiative used in Air Traffic Management (ATM) to reconcile capacity and demand discrepancies at airports. Employing Reinforcement Learning (RL) to m
Externí odkaz:
http://arxiv.org/abs/2405.08298
Autor:
Liu, Ke, Ding, Kaijing, Cheng, Xi, Xu, Guanhao, Hu, Xin, Liu, Tong, Feng, Siyuan, Cai, Binze, Chen, Jianan, Lin, Hui, Song, Jilin, Zhu, Chen
Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been attempted by various previous research. However, previous delay predict
Externí odkaz:
http://arxiv.org/abs/2405.08293