Zobrazeno 1 - 10
of 2 044
pro vyhledávání: '"WANG Yingchun"'
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 185-92 (2024)
Externí odkaz:
https://doaj.org/article/3644e87eae914b5fbdc1b184c0be04a7
Publikováno v:
Jixie chuandong, Vol 47, Pp 135-141 (2023)
Increasing the fatigue life of the laminated coupling helps to enhance the working stability of the transmission system. To this end, this study establishes a quasi-static mechanical analysis model of the laminated coupling under the action of extern
Externí odkaz:
https://doaj.org/article/d87676017b22435e9f1014e6c3402319
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 2179-2188 (2023)
Data mining is a practice that employs mathematical algorithms to search for hidden information in a large amount of data to analyse the underlying pattern and law, and this practice is also known as knowledge discovery in data. The National Basketba
Externí odkaz:
https://doaj.org/article/533d879b68544f318c7e1117b48b9226
The ability to adapt beliefs or behaviors in response to unexpected outcomes, reflection, is fundamental to intelligent systems' interaction with the world. From a cognitive science perspective, this serves as a core principle of intelligence applica
Externí odkaz:
http://arxiv.org/abs/2410.16270
Large Language Models (LLMs) can memorize sensitive information, raising concerns about potential misuse. LLM Unlearning, a post-hoc approach to remove this information from trained LLMs, offers a promising solution to mitigate these risks. However,
Externí odkaz:
http://arxiv.org/abs/2409.11844
Autor:
Li, Junyu, Zhang, Ye, Shu, Wen, Feng, Xiaobing, Wang, Yingchun, Yan, Pengju, Li, Xiaolin, Sha, Chulin, He, Min
Multiple instance learning (MIL) has been successfully applied for whole slide images (WSIs) analysis in computational pathology, enabling a wide range of prediction tasks from tumor subtyping to inferring genetic mutations and multi-omics biomarkers
Externí odkaz:
http://arxiv.org/abs/2407.17267
Autor:
Wang, Xuhong, Jiang, Haoyu, Yu, Yi, Yu, Jingru, Lin, Yilun, Yi, Ping, Wang, Yingchun, Qiao, Yu, Li, Li, Wang, Fei-Yue
Large Language Models (LLMs) are increasingly integrated into diverse industries, posing substantial security risks due to unauthorized replication and misuse. To mitigate these concerns, robust identification mechanisms are widely acknowledged as an
Externí odkaz:
http://arxiv.org/abs/2407.11100
Autor:
Zhao, Haiquan, Li, Lingyu, Chen, Shisong, Kong, Shuqi, Wang, Jiaan, Huang, Kexin, Gu, Tianle, Wang, Yixu, Jian, Wang, Liang, Dandan, Li, Zhixu, Teng, Yan, Xiao, Yanghua, Wang, Yingchun
Emotion Support Conversation (ESC) is a crucial application, which aims to reduce human stress, offer emotional guidance, and ultimately enhance human mental and physical well-being. With the advancement of Large Language Models (LLMs), many research
Externí odkaz:
http://arxiv.org/abs/2406.14952
Autor:
Gu, Tianle, Zhou, Zeyang, Huang, Kexin, Liang, Dandan, Wang, Yixu, Zhao, Haiquan, Yao, Yuanqi, Qiao, Xingge, Wang, Keqing, Yang, Yujiu, Teng, Yan, Qiao, Yu, Wang, Yingchun
Powered by remarkable advancements in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) demonstrate impressive capabilities in manifold tasks. However, the practical application scenarios of MLLMs are intricate, exposing them to
Externí odkaz:
http://arxiv.org/abs/2406.07594
Autor:
Lu, Chaochao, Qian, Chen, Zheng, Guodong, Fan, Hongxing, Gao, Hongzhi, Zhang, Jie, Shao, Jing, Deng, Jingyi, Fu, Jinlan, Huang, Kexin, Li, Kunchang, Li, Lijun, Wang, Limin, Sheng, Lu, Chen, Meiqi, Zhang, Ming, Ren, Qibing, Chen, Sirui, Gui, Tao, Ouyang, Wanli, Wang, Yali, Teng, Yan, Wang, Yaru, Wang, Yi, He, Yinan, Wang, Yingchun, Wang, Yixu, Zhang, Yongting, Qiao, Yu, Shen, Yujiong, Mou, Yurong, Chen, Yuxi, Zhang, Zaibin, Shi, Zhelun, Yin, Zhenfei, Wang, Zhipin
Multi-modal Large Language Models (MLLMs) have shown impressive abilities in generating reasonable responses with respect to multi-modal contents. However, there is still a wide gap between the performance of recent MLLM-based applications and the ex
Externí odkaz:
http://arxiv.org/abs/2401.15071