Zobrazeno 1 - 10
of 11 535
pro vyhledávání: '"Chen Hsin"'
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background With the increasing prevalence of nonsmoking-related lung cancer in Asia, Asian countries have increasingly adopted low-dose computed tomography (LDCT) for lung cancer screening, particularly in private screening programs. This st
Externí odkaz:
https://doaj.org/article/c4badfefbd0e4dd48d0446773f4977b6
Data annotation refers to the labeling or tagging of textual data with relevant information. A large body of works have reported positive results on leveraging LLMs as an alternative to human annotators. However, existing studies focus on classic NLP
Externí odkaz:
http://arxiv.org/abs/2410.03254
Training large language models (LLMs) from scratch is an expensive endeavor, particularly as world knowledge continually evolves. To maintain relevance and accuracy of LLMs, model editing has emerged as a pivotal research area. While these methods ho
Externí odkaz:
http://arxiv.org/abs/2409.18679
In diverse professional environments, ranging from academic conferences to corporate earnings calls, the ability to anticipate audience questions stands paramount. Traditional methods, which rely on manual assessment of an audience's background, inte
Externí odkaz:
http://arxiv.org/abs/2409.18677
Understanding the duration of news events' impact on the stock market is crucial for effective time-series forecasting, yet this facet is largely overlooked in current research. This paper addresses this research gap by introducing a novel dataset, t
Externí odkaz:
http://arxiv.org/abs/2409.17419
Autor:
Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi, Takamura, Hiroya, Kobayashi, Ichiro, Miyao, Yusuke
In the era of rapid Internet and social media platform development, individuals readily share their viewpoints online. The overwhelming quantity of these posts renders comprehensive analysis impractical. This necessitates an efficient recommendation
Externí odkaz:
http://arxiv.org/abs/2409.17417
Accurate calibration of camera intrinsic parameters is crucial to various computer vision-based applications in the fields of intelligent systems, autonomous vehicles, etc. However, existing calibration schemes are incompetent for finding general tre
Externí odkaz:
http://arxiv.org/abs/2409.01171
Autor:
Salvarese, Alberto, Chen, Hsin-Yu
Publikováno v:
The Astrophysical Journal Letters, 974, 1, L16, 2024
The inconsistency between experiments in the measurements of the local Universe expansion rate, the Hubble constant, suggests unknown systematics in the existing experiments or new physics. Gravitational-wave standard sirens, a method to independentl
Externí odkaz:
http://arxiv.org/abs/2406.11126
In this paper, we investigate the phenomena of "selection biases" in Large Language Models (LLMs), focusing on problems where models are tasked with choosing the optimal option from an ordered sequence. We delve into biases related to option order an
Externí odkaz:
http://arxiv.org/abs/2406.03009
Autor:
Lau, Mu-Te, Cheng, Chin-Yi, Lu, Cheng-Hua, Chuang, Chia-Hsu, Kuo, Yi-Hsiang, Yang, Hsiang-Chun, Kuo, Chien-Tung, Chen, Hsin-Yu, Tung, Chen-Ying, Tsai, Cheng-En, Chen, Guan-Hao, Lin, Leng-Kai, Wang, Ching-Huan, Wang, Tzu-Hsu, Huang, Chung-Yang Ric
In this paper, we introduce a new quantum circuit synthesis (QCS) framework, Qsyn, for developers to research, develop, test, experiment, and then contribute their QCS algorithms and tools to the framework. Our framework is more developer-friendly th
Externí odkaz:
http://arxiv.org/abs/2405.07197