Zobrazeno 1 - 10
of 261
pro vyhledávání: '"Xu Zihang"'
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 5, Pp 727-730 (2024)
In medical research,predictive models have been widely used to predict disease progression and identify high-risk populations in advance, especially in the prevention and diagnosis of chronic diseases. In ophthalmology, the predictive and diagnostic
Externí odkaz:
https://doaj.org/article/9ae2e15a42674937b1e443316bc9452c
Publikováno v:
Acta Orthopaedica et Traumatologica Turcica, Vol 57, Iss 4, Pp 154-160 (2023)
Externí odkaz:
https://doaj.org/article/d8c7ab9a90ab495ea3be32618a79eb01
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the development of information technology, the news media industry has entered the all-media era. Today, everyone is a communicator, and the audience has more diversified channels to obtain news information, but it also leads to the truly useful
Externí odkaz:
https://doaj.org/article/db3325d72b204979a4078f0706541d7e
Large language models (LLMs) have shown remarkable performance in various tasks but often fail to handle queries that exceed their knowledge and capabilities, leading to incorrect or fabricated responses. This paper addresses the need for LLMs to rec
Externí odkaz:
http://arxiv.org/abs/2408.05873
Autor:
Zhang, Xinrong, Chen, Yingfa, Hu, Shengding, Han, Xu, Xu, Zihang, Xu, Yuanwei, Zhao, Weilin, Sun, Maosong, Liu, Zhiyuan
As large language models (LLMs) increasingly permeate daily lives, there is a growing demand for real-time interactions that mirror human conversations. Traditional turn-based chat systems driven by LLMs prevent users from verbally interacting with t
Externí odkaz:
http://arxiv.org/abs/2406.15718
Autor:
Zhang, Xinrong, Chen, Yingfa, Hu, Shengding, Xu, Zihang, Chen, Junhao, Hao, Moo Khai, Han, Xu, Thai, Zhen Leng, Wang, Shuo, Liu, Zhiyuan, Sun, Maosong
Publikováno v:
2023.12.15ARR
Processing and reasoning over long contexts is crucial for many practical applications of Large Language Models (LLMs), such as document comprehension and agent construction. Despite recent strides in making LLMs process contexts with more than 100K
Externí odkaz:
http://arxiv.org/abs/2402.13718
Since the release of ChatGPT, generative models have achieved tremendous success and become the de facto approach for various NLP tasks. However, its application in the field of input methods remains under-explored. Many neural network approaches hav
Externí odkaz:
http://arxiv.org/abs/2311.01166
Automatic tissue segmentation of fetal brain images is essential for the quantitative analysis of prenatal neurodevelopment. However, producing voxel-level annotations of fetal brain imaging is time-consuming and expensive. To reduce labeling costs,
Externí odkaz:
http://arxiv.org/abs/2310.14172
Autor:
Zhang, Shuyang, Zeng, Zhikun, Yuan, Houfei, Xu, Zihang, Ai, Xinyu, He, Lewei, Li, Zhifeng, Wang, Yujie
We experimentally investigate the clogging process of granular materials in a two-dimensional hopper, and present a self-consistent physical mechanism of clogging based on preformed dynamic chain structures in the flow. We found that these chain stru
Externí odkaz:
http://arxiv.org/abs/2308.06584
In the field of machine reading comprehension (MRC), existing systems have surpassed the average performance of human beings in many tasks like SQuAD. However, there is still a long way to go when it comes to logical reasoning. Although some methods
Externí odkaz:
http://arxiv.org/abs/2306.15273