Zobrazeno 1 - 10
of 3 373
pro vyhledávání: '"ZHANG Zhiping"'
Language model (LM) agents that act on users' behalf for personal tasks can boost productivity, but are also susceptible to unintended privacy leakage risks. We present the first study on people's capacity to oversee the privacy implications of the L
Externí odkaz:
http://arxiv.org/abs/2411.01344
The advancements of Large Language Models (LLMs) have decentralized the responsibility for the transparency of AI usage. Specifically, LLM users are now encouraged or required to disclose the use of LLM-generated content for varied types of real-worl
Externí odkaz:
http://arxiv.org/abs/2409.19450
Autor:
Xue, Siqiao, Qi, Danrui, Jiang, Caigao, Shi, Wenhui, Cheng, Fangyin, Chen, Keting, Yang, Hongjun, Zhang, Zhiping, He, Jianshan, Zhang, Hongyang, Wei, Ganglin, Zhao, Wang, Zhou, Fan, Yi, Hong, Liu, Shaodong, Chen, Faqiang
The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. The technologies of interacting with data particularly have an important entanglement with LLMs as efficient and intuitive data interactions
Externí odkaz:
http://arxiv.org/abs/2404.10209
The emergence of large language models (LLMs), and their increased use in user-facing systems, has led to substantial privacy concerns. To date, research on these privacy concerns has been model-centered: exploring how LLMs lead to privacy risks like
Externí odkaz:
http://arxiv.org/abs/2402.01994
Autor:
Xue, Siqiao, Jiang, Caigao, Shi, Wenhui, Cheng, Fangyin, Chen, Keting, Yang, Hongjun, Zhang, Zhiping, He, Jianshan, Zhang, Hongyang, Wei, Ganglin, Zhao, Wang, Zhou, Fan, Qi, Danrui, Yi, Hong, Liu, Shaodong, Chen, Faqiang
The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. Database technologies particularly have an important entanglement with LLMs as efficient and intuitive database interactions are paramount.
Externí odkaz:
http://arxiv.org/abs/2312.17449
Autor:
Zhang, Zhiping, Jia, Michelle, Lee, Hao-Ping, Yao, Bingsheng, Das, Sauvik, Lerner, Ada, Wang, Dakuo, Li, Tianshi
The widespread use of Large Language Model (LLM)-based conversational agents (CAs), especially in high-stakes domains, raises many privacy concerns. Building ethical LLM-based CAs that respect user privacy requires an in-depth understanding of the pr
Externí odkaz:
http://arxiv.org/abs/2309.11653
Publikováno v:
Zhenduanxue lilun yu shijian, Vol 23, Iss 04, Pp 378-384 (2024)
Objective To provide a scientific basis for the prevention and control of thyroid cancer by analyzing the incidence characteristics and trends of thyroid cancer in Baoshan District, Shanghai from 2000 to 2022. Methods The thyroid cancer incidence dat
Externí odkaz:
https://doaj.org/article/00175a1bd90f453bb11b50db0509f82b
Autor:
Jiao, Yinggang, Li, Yameng, Zhang, Yang, Sami Khan, Muhammad Adnan, Yin, Fang, Zhu, Shengnan, Zhang, Quanguo, Fatehi, Pedram, Zhang, Zhiping
Publikováno v:
In International Journal of Hydrogen Energy 11 December 2024 94:376-384
Autor:
Zhou, Zhanhao, Lan, Hongbing, Tan, Hongyuan, Wang, Yi, Chen, Wei, Batur, Samira, Fu, Chuansheng, Kong, Li, Yang, Conglian, Niu, Boning, Guo, Yuanyuan, Zhang, Zhiping, Huang, Kai
Publikováno v:
In Nano Today December 2024 59
Autor:
Rahman, Muneeb Ur, Nadeem, Faiqa, Ramzan, Hina, Shen, Fuhua, Usman, Muhammad, Shahzaib, Muhammad, Afzal, Waheed, Liu, Shengyong, Tao, Hongge, Zhang, Zhiping, Zhang, Quanguo, Tahir, Nadeem
Publikováno v:
In Composites Part B December 2024 287