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pro vyhledávání: '"Li, Jiwei"'
Autor:
Yan, Ji, Li, Jiwei, He, X. T., Wang, Lifeng, Chen, Yaohua, Wang, Feng, Han, Xiaoying, Pan, Kaiqiang, Liang, Juxi, Li, Yulong, Guan, Zanyang, Liu, Xiangming, Che, Xingsen, Chen, Zhongjing, Zhang, Xing, Xu, Yan, Li, Bin, He, Minging, Cai, Hongbo, Hao, Liang., Liu, Zhanjun, Zheng, Chunyang, Dai, Zhensheng, Fan, Zhengfeng, Qiao, Bin, Li, Fuquan, Jiang, Shaoen, Yu, M. Y., Zhu, Shaoping
A response to commenter Ke Lan's comment on our paper published in Nature Communications (2023)14:5782 by J. Yan et al
Externí odkaz:
http://arxiv.org/abs/2406.17555
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:
Li, Kunxi, Zhan, Tianyu, Fu, Kairui, Zhang, Shengyu, Kuang, Kun, Li, Jiwei, Zhao, Zhou, Wu, Fei
In this study, we focus on heterogeneous knowledge transfer across entirely different model architectures, tasks, and modalities. Existing knowledge transfer methods (e.g., backbone sharing, knowledge distillation) often hinge on shared elements with
Externí odkaz:
http://arxiv.org/abs/2404.13322
Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis of trust and ha
Externí odkaz:
http://arxiv.org/abs/2402.12688
Text-attributed graphs (TAGs) present unique challenges for direct processing by Language Learning Models (LLMs), yet their extensive commonsense knowledge and robust reasoning capabilities offer great promise for node classification in TAGs. Prior r
Externí odkaz:
http://arxiv.org/abs/2402.03720
Autor:
Chen, Wentao, Li, Jiwei, Xu, Xichen, Huang, Hui, Yuan, Siyu, Zhang, Miao, Xu, Tianming, Luo, Jie, Zhou, Weimin
[$^{18}$F]fluorodeoxyglucose (FDG) positron emission tomography (PET) has emerged as a crucial tool in identifying the epileptic focus, especially in cases where magnetic resonance imaging (MRI) diagnosis yields indeterminate results. FDG PET can pro
Externí odkaz:
http://arxiv.org/abs/2402.01191
Autor:
Lei, Zhu, Wang, Lifeng, Li, Jiwei, Zou, Shiyang, Wu, Junfeng, Zhao, Zhonghai, Sun, Wei, Yuan, Wenqiang, Li, Longxing, Yan, Zheng, Li, Jun, Ye, Wenhua, He, Xiantu, Qiao, Bin
Pillars of Creation, one of the most recognized objects in the sky, are believed to be associated with the formation of young stars. However, so far, the formation and maintenance mechanism for the pillars are still not fully understood due to the co
Externí odkaz:
http://arxiv.org/abs/2401.17561
Autor:
Hu, Xueyu, Zhao, Ziyu, Wei, Shuang, Chai, Ziwei, Ma, Qianli, Wang, Guoyin, Wang, Xuwu, Su, Jing, Xu, Jingjing, Zhu, Ming, Cheng, Yao, Yuan, Jianbo, Li, Jiwei, Kuang, Kun, Yang, Yang, Yang, Hongxia, Wu, Fei
In this paper, we introduce InfiAgent-DABench, the first benchmark specifically designed to evaluate LLM-based agents on data analysis tasks. These tasks require agents to end-to-end solving complex tasks by interacting with an execution environment.
Externí odkaz:
http://arxiv.org/abs/2401.05507
Autor:
Li, Baokui, Zhang, Sen, Zhang, Wangshu, Chen, Yicheng, Yang, Changlin, Hu, Sen, Xu, Teng, liu, Siye, Li, Jiwei
Supplying data augmentation to conversational question answering (CQA) can effectively improve model performance. However, there is less improvement from single-turn datasets in CQA due to the distribution gap between single-turn and multi-turn datas
Externí odkaz:
http://arxiv.org/abs/2312.16511
Autor:
Feng, Zhangyin, Hu, Runyi, Liu, Liangxin, Zhang, Fan, Tang, Duyu, Dai, Yong, Feng, Xiaocheng, Li, Jiwei, Qin, Bing, Shi, Shuming
Autoregressive and diffusion models drive the recent breakthroughs on text-to-image generation. Despite their huge success of generating high-realistic images, a common shortcoming of these models is their high inference latency - autoregressive mode
Externí odkaz:
http://arxiv.org/abs/2312.14988