Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Xiao Yuxin"'
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
ObjectiveTo compare the effects of four intermittent fasting regimens on blood glucose and insulin sensitivity in people with type 2 diabetes.MethodsRandomized controlled trials of intermittent fasting in the treatment of patients with type 2 diabete
Externí odkaz:
https://doaj.org/article/61b0d3b8c9004ba58413547ad43e1621
Autor:
Xiao Yuxin, Zhang Miaochen
Publikováno v:
SHS Web of Conferences, Vol 193, p 01037 (2024)
Since the macro goal of “300 million people joining in ice and snow sports activities” was put forward, and the purpose was to advocate Winter Olympics, familiar winter sports have entered the public domain. The baton of “net-famous cities” h
Externí odkaz:
https://doaj.org/article/c10bc20b6eaf401799de29577f8d4668
Autor:
Xiao, Yuxin, Wan, Chaoqun, Zhang, Yonggang, Wang, Wenxiao, Lin, Binbin, He, Xiaofei, Shen, Xu, Ye, Jieping
As the development and application of Large Language Models (LLMs) continue to advance rapidly, enhancing their trustworthiness and aligning them with human preferences has become a critical area of research. Traditional methods rely heavily on exten
Externí odkaz:
http://arxiv.org/abs/2411.02461
To induce desired behaviors in large language models (LLMs) for interaction-driven tasks, the instruction-tuning stage typically trains LLMs on instruction-response pairs using the next-token prediction (NTP) loss. Previous work aiming to improve ins
Externí odkaz:
http://arxiv.org/abs/2410.05248
Data sharing is crucial for open science and reproducible research, but the legal sharing of clinical data requires the removal of protected health information from electronic health records. This process, known as de-identification, is often achieve
Externí odkaz:
http://arxiv.org/abs/2305.11348
Autor:
Xiao, Yuxin, Liang, Paul Pu, Bhatt, Umang, Neiswanger, Willie, Salakhutdinov, Ruslan, Morency, Louis-Philippe
Pre-trained language models (PLMs) have gained increasing popularity due to their compelling prediction performance in diverse natural language processing (NLP) tasks. When formulating a PLM-based prediction pipeline for NLP tasks, it is also crucial
Externí odkaz:
http://arxiv.org/abs/2210.04714
Publikováno v:
In Science of the Total Environment 20 November 2024 952
Publikováno v:
In Catena November 2024 246
Publikováno v:
In Ceramics International 15 September 2024 50(18) Part B:33480-33487
Autor:
Chen, Huangbo, Zhang, Xinqing, Xiao, Yuxin, Yang, Shaogui, Li, Shiyin, Kong, Jijie, Sun, Cheng, He, Huan
Publikováno v:
In Journal of Environmental Chemical Engineering December 2024 12(6)