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pro vyhledávání: '"Chen, Jingyuan"'
Autor:
Zhong, Tianyang, Liu, Zhengliang, Pan, Yi, Zhang, Yutong, Zhou, Yifan, Liang, Shizhe, Wu, Zihao, Lyu, Yanjun, Shu, Peng, Yu, Xiaowei, Cao, Chao, Jiang, Hanqi, Chen, Hanxu, Li, Yiwei, Chen, Junhao, Hu, Huawen, Liu, Yihen, Zhao, Huaqin, Xu, Shaochen, Dai, Haixing, Zhao, Lin, Zhang, Ruidong, Zhao, Wei, Yang, Zhenyuan, Chen, Jingyuan, Wang, Peilong, Ruan, Wei, Wang, Hui, Zhao, Huan, Zhang, Jing, Ren, Yiming, Qin, Shihuan, Chen, Tong, Li, Jiaxi, Zidan, Arif Hassan, Jahin, Afrar, Chen, Minheng, Xia, Sichen, Holmes, Jason, Zhuang, Yan, Wang, Jiaqi, Xu, Bochen, Xia, Weiran, Yu, Jichao, Tang, Kaibo, Yang, Yaxuan, Sun, Bolun, Yang, Tao, Lu, Guoyu, Wang, Xianqiao, Chai, Lilong, Li, He, Lu, Jin, Sun, Lichao, Zhang, Xin, Ge, Bao, Hu, Xintao, Zhang, Lian, Zhou, Hua, Zhang, Lu, Zhang, Shu, Liu, Ninghao, Jiang, Bei, Kong, Linglong, Xiang, Zhen, Ren, Yudan, Liu, Jun, Jiang, Xi, Bao, Yu, Zhang, Wei, Li, Xiang, Li, Gang, Liu, Wei, Shen, Dinggang, Sikora, Andrea, Zhai, Xiaoming, Zhu, Dajiang, Liu, Tianming
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, including computer science, mathematics, natural sciences, medicine, linguist
Externí odkaz:
http://arxiv.org/abs/2409.18486
With the rapid advancement of large language models, there has been a growing interest in their capabilities in mathematical reasoning. However, existing research has primarily focused on text-based algebra problems, neglecting the study of geometry
Externí odkaz:
http://arxiv.org/abs/2409.09039
Autor:
Wu, Tao, Li, Mengze, Chen, Jingyuan, Ji, Wei, Lin, Wang, Gao, Jinyang, Kuang, Kun, Zhao, Zhou, Wu, Fei
Research on Multi-modal Large Language Models (MLLMs) towards the multi-image cross-modal instruction has received increasing attention and made significant progress, particularly in scenarios involving closely resembling images (e.g., change caption
Externí odkaz:
http://arxiv.org/abs/2408.12867
Autor:
Lv, Zheqi, He, Shaoxuan, Zhan, Tianyu, Zhang, Shengyu, Zhang, Wenqiao, Chen, Jingyuan, Zhao, Zhou, Wu, Fei
Dynamic sequential recommendation (DSR) can generate model parameters based on user behavior to improve the personalization of sequential recommendation under various user preferences. However, it faces the challenges of large parameter search space
Externí odkaz:
http://arxiv.org/abs/2408.00123
Large Language Models (LLMs) have demonstrated great potential for assisting developers in their daily development. However, most research focuses on generating correct code, how to use LLMs to generate personalized code has seldom been investigated.
Externí odkaz:
http://arxiv.org/abs/2406.17255
Autor:
Zeng, Binglin, Lai, Jialin, Chen, Jingyuan, Huang, Yaxin, Wu, Changjin, Huang, Chao, Guo, Qingxin, Li, Xiaofeng, Li, Shuai, Tang, Jinyao
Self-propelled micromotors can efficiently convert ambient energy into mechanical motion, which is of great interest for its potential biomedical applications in delivering therapeutics noninvasively. However, navigating these micromotors through bio
Externí odkaz:
http://arxiv.org/abs/2406.12522
Due to the continuously improving capabilities of mobile edges, recommender systems start to deploy models on edges to alleviate network congestion caused by frequent mobile requests. Several studies have leveraged the proximity of edge-side to real-
Externí odkaz:
http://arxiv.org/abs/2406.08804
Autor:
Lin, Wang, Chen, Jingyuan, Shi, Jiaxin, Zhu, Yichen, Liang, Chen, Miao, Junzhong, Jin, Tao, Zhao, Zhou, Wu, Fei, Yan, Shuicheng, Zhang, Hanwang
We tackle the common challenge of inter-concept visual confusion in compositional concept generation using text-guided diffusion models (TGDMs). It becomes even more pronounced in the generation of customized concepts, due to the scarcity of user-pro
Externí odkaz:
http://arxiv.org/abs/2405.06914
Autor:
Chen, Jingyuan, Yang, Yunze, Feng, Hongying, Zhang, Lian, Vargas, Carlos E., Yu, Nathan Y., Rwigema, Jean-Claude M., Keole, Sameer R., Vora, Sujay A., Shen, Jiajian, Liu, Wei
Purpose: Historically, spot scanning proton therapy (SSPT) treatment planning utilizes dose volume constraints and linear-energy-transfer (LET) volume constraints separately to balance tumor control and organs-at-risk (OARs) protection. We propose a
Externí odkaz:
http://arxiv.org/abs/2405.03916
Autor:
Wang, Peilong, Chen, Jingyuan
Solar eclipses, as rare astronomical events, often evoke a profound sense of wonder and awe within the human spirit. However, for ordinary people, the extremely short preparation time, a few hours of notice from friends or social media, and the lack
Externí odkaz:
http://arxiv.org/abs/2407.06420