Zobrazeno 1 - 10
of 311
pro vyhledávání: '"Lin Jiayu"'
Publikováno v:
Shipin Kexue, Vol 44, Iss 4, Pp 278-285 (2023)
This study aimed to investigate the mechanisms by which amino acids simultaneously remove formaldehyde and glyoxal and to evaluate the cytotoxicity of their products. γ-Aminobutyric acid or L-alanine was reacted with formaldehyde and glyoxal at a mo
Externí odkaz:
https://doaj.org/article/f1b61d12b69247c49f75627bc8ab206f
Autor:
Mou, Xinyi, Ding, Xuanwen, He, Qi, Wang, Liang, Liang, Jingcong, Zhang, Xinnong, Sun, Libo, Lin, Jiayu, Zhou, Jie, Huang, Xuanjing, Wei, Zhongyu
Traditional sociological research often relies on human participation, which, though effective, is expensive, challenging to scale, and with ethical concerns. Recent advancements in large language models (LLMs) highlight their potential to simulate h
Externí odkaz:
http://arxiv.org/abs/2412.03563
Autor:
Zhang, Xinnong, Lin, Jiayu, Sun, Libo, Qi, Weihong, Yang, Yihang, Chen, Yue, Lyu, Hanjia, Mou, Xinyi, Chen, Siming, Luo, Jiebo, Huang, Xuanjing, Tang, Shiping, Wei, Zhongyu
The massive population election simulation aims to model the preferences of specific groups in particular election scenarios. It has garnered significant attention for its potential to forecast real-world social trends. Traditional agent-based modeli
Externí odkaz:
http://arxiv.org/abs/2410.20746
Autor:
Mou, Xinyi, Liang, Jingcong, Lin, Jiayu, Zhang, Xinnong, Liu, Xiawei, Yang, Shiyue, Ye, Rong, Chen, Lei, Kuang, Haoyu, Huang, Xuanjing, Wei, Zhongyu
Large language models (LLMs) are increasingly leveraged to empower autonomous agents to simulate human beings in various fields of behavioral research. However, evaluating their capacity to navigate complex social interactions remains a challenge. Pr
Externí odkaz:
http://arxiv.org/abs/2410.19346
Pre-training and self-training are two approaches to semi-supervised learning. The comparison between pre-training and self-training has been explored. However, the previous works led to confusing findings: self-training outperforms pre-training expe
Externí odkaz:
http://arxiv.org/abs/2409.02751
Autor:
Lin, Jiayu, Chen, Guanrong, Jin, Bojun, Li, Chenyang, Jia, Shutong, Lin, Wancong, Sun, Yang, He, Yuhang, Yang, Caihua, Bao, Jianzhu, Wu, Jipeng, Su, Wen, Chen, Jinglu, Li, Xinyi, Chen, Tianyu, Han, Mingjie, Du, Shuaiwen, Wang, Zijian, Li, Jiyin, Suo, Fuzhong, Wang, Hao, Lin, Nuanchen, Huang, Xuanjing, Jiang, Changjian, Xu, RuiFeng, Zhang, Long, Cao, Jiuxin, Jin, Ting, Wei, Zhongyu
In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative generation tasks in different
Externí odkaz:
http://arxiv.org/abs/2407.14829
Autor:
Lin Jiayu, Deng Chaowen, Peng Yanzhong, Zheng Jie, Wei Liya, Shi Yu, Gong Zhenghua, Hu Guoxin
Publikováno v:
Open Chemistry, Vol 17, Iss 1, Pp 346-356 (2019)
On the basis of carbon tetrachloride (CCl4)induced liver fibrosis in rats, this study aims to investigate the dynamic changes in matrix metalloproteinase 1 (MMP1) and the tissue inhibitor of metalloproteinase 1 (TIMP1) in the antifibrotic process of
Externí odkaz:
https://doaj.org/article/dd7c59c93a484a63af1f472848b6254c
Autor:
Lin, Jiayu, Ye, Rong, Han, Meng, Zhang, Qi, Lai, Ruofei, Zhang, Xinyu, Cao, Zhao, Huang, Xuanjing, Wei, Zhongyu
Counter-argument generation -- a captivating area in computational linguistics -- seeks to craft statements that offer opposing views. While most research has ventured into paragraph-level generation, sentence-level counter-argument generation beckon
Externí odkaz:
http://arxiv.org/abs/2312.13608
In order to be applicable in real-world scenario, Boundary Attacks (BAs) were proposed and ensured one hundred percent attack success rate with only decision information. However, existing BA methods craft adversarial examples by leveraging a simple
Externí odkaz:
http://arxiv.org/abs/2207.02391
Image inpainting has achieved great advances by simultaneously leveraging image structure and texture features. However, due to lack of effective multi-feature fusion techniques, existing image inpainting methods still show limited improvement. In th
Externí odkaz:
http://arxiv.org/abs/2205.10578