Zobrazeno 1 - 10
of 1 219
pro vyhledávání: '"Zeng, Daniel"'
In this paper, we investigate whether Large Language Models (LLMs) actively recall or retrieve their internal repositories of factual knowledge when faced with reasoning tasks. Through an analysis of LLMs' internal factual recall at each reasoning st
Externí odkaz:
http://arxiv.org/abs/2408.03247
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 5, p e24721 (2021)
BackgroundThough shock wave lithotripsy (SWL) has developed to be one of the most common treatment approaches for nephrolithiasis in recent decades, its treatment planning is often a trial-and-error process based on physicians’ subjective judgement
Externí odkaz:
https://doaj.org/article/ff110f02172a414f9bcf621dcb37e768
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 7, p e16962 (2020)
BackgroundStopping the epidemic of e-cigarette use among youth has become the common goal of both regulatory authorities and health departments. JUUL is currently the most popular e-cigarette brand on the market. Young people usually obtain and excha
Externí odkaz:
https://doaj.org/article/fd79208758be4a78b4b56f793a64c588
Along with the rise of short-form videos, their mental impacts on viewers have led to widespread consequences, prompting platforms to predict videos' impact on viewers' mental health. Subsequently, they can take intervention measures according to the
Externí odkaz:
http://arxiv.org/abs/2402.10045
Robots that cooperate with humans must be effective at communicating with them. However, people have varied preferences for communication based on many contextual factors, such as culture, environment, and past experience. To communicate effectively,
Externí odkaz:
http://arxiv.org/abs/2401.03088
Autor:
Xiao, Xinglin, Wang, Yijie, Xu, Nan, Wang, Yuqi, Yang, Hanxuan, Wang, Minzheng, Luo, Yin, Wang, Lei, Mao, Wenji, Zeng, Daniel
The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures. Recent work has proposed methods based on large language models to uniformly model different information extract
Externí odkaz:
http://arxiv.org/abs/2312.15548
With the rapid development of large language models (LLMs), it is highly demanded that LLMs can be adopted to make decisions to enable the artificial general intelligence. Most approaches leverage manually crafted examples to prompt the LLMs to imita
Externí odkaz:
http://arxiv.org/abs/2312.08402
Hierarchical reinforcement learning composites subpolicies in different hierarchies to accomplish complex tasks.Automated subpolicies discovery, which does not depend on domain knowledge, is a promising approach to generating subpolicies.However, the
Externí odkaz:
http://arxiv.org/abs/2308.00989
Autor:
Chen, Zhipeng, Zeng, Daniel D.
Background: In recent years, the emerging electronic cigarette (e-cigarette) marketplace has developed prosperously all over the world. By analyzing online e-liquid reviews, we seek to identify the features attracting users. Methods: We collected e-l
Externí odkaz:
http://hdl.handle.net/10150/625175
http://arizona.openrepository.com/arizona/handle/10150/625175
http://arizona.openrepository.com/arizona/handle/10150/625175
Prediction markets provide a promising approach for future event prediction. Most existing prediction market approaches are based on auction mechanisms. Despite their theoretical appeal and success in various application settings, these mechanisms su
Externí odkaz:
http://hdl.handle.net/10150/625249
http://arizona.openrepository.com/arizona/handle/10150/625249
http://arizona.openrepository.com/arizona/handle/10150/625249