Zobrazeno 1 - 10
of 350
pro vyhledávání: '"Lee, Chanhee"'
Autor:
Oh, Bumjo, Hwangbo, Suhyun, Jung, Taeyeong, Min, Kyungha, Lee, Chanhee, Apio, Catherine, Lee, Hyejin, Lee, Seungyeoun, Moon, Min Kyong, Kim, Shin-Woo, Park, Taesung
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 4, p e25852 (2021)
BackgroundLimited information is available about the present characteristics and dynamic clinical changes that occur in patients with COVID-19 during the early phase of the illness. ObjectiveThis study aimed to develop and validate machine learning
Externí odkaz:
https://doaj.org/article/f2dcd1c9a2354df69a866d9fc170606e
Large language models (LLMs) have emerged as versatile tools in various daily applications. However, they are fraught with issues that undermine their utility and trustworthiness. These include the incorporation of erroneous references (citation), th
Externí odkaz:
http://arxiv.org/abs/2309.06384
Autor:
Park, Na Hyeon, Kim, Hanna, Lee, Chanhee, Yoon, Changhoon, Lee, Seunghyeon, jin, Youngjin, Shin, Seungwon
NFT (Non-fungible Token) has drastically increased in its size, accounting for over \$16.9B of total market capitalization. Despite the rapid growth of NFTs, this market has not been examined thoroughly from a financial perspective. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2303.09393
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs
Autor:
Kim, Hanna, Cui, Jian, Jang, Eugene, Lee, Chanhee, Lee, Yongjae, Chung, Jin-Woo, Shin, Seungwon
As Non-Fungible Tokens (NFTs) continue to grow in popularity, NFT users have become targets of phishing attacks by cybercriminals, called \textit{NFT drainers}. Over the last year, \$100 million worth of NFTs were stolen by drainers, and their presen
Externí odkaz:
http://arxiv.org/abs/2301.13577
The focus of this work is to investigate unsupervised approaches to overcome quintessential challenges in designing task-oriented dialog schema: assigning intent labels to each dialog turn (intent clustering) and generating a set of intents based on
Externí odkaz:
http://arxiv.org/abs/2212.02021
Autor:
Son, Suhyune, Park, Chanjun, Lee, Jungseob, Shim, Midan, Lee, Chanhee, Jang, Yoonna, Seo, Jaehyung, Lim, Heuiseok
As pre-trained language models become more resource-demanding, the inequality between resource-rich languages such as English and resource-scarce languages is worsening. This can be attributed to the fact that the amount of available training data in
Externí odkaz:
http://arxiv.org/abs/2209.06422
As the number of video content has mushroomed in recent years, automatic video summarization has come useful when we want to just peek at the content of the video. However, there are two underlying limitations in generic video summarization task. Fir
Externí odkaz:
http://arxiv.org/abs/2207.01814
Publikováno v:
In Expert Systems With Applications 15 November 2024 254
Autor:
Lee, Chanhee, Kim, Ji Young, Bae, Ki Yoon, Kim, Taewon, Jung, Soon-Jae, Son, Samick, Lee, Hyun-Wook
Publikováno v:
In Energy Storage Materials 25 February 2024 66
Autor:
Whang, Taesun, Lee, Dongyub, Oh, Dongsuk, Lee, Chanhee, Han, Kijong, Lee, Dong-hun, Lee, Saebyeok
In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems. Recently, pre-trained language models (e.g., BERT, RoBERTa, and ELECTRA) showed significant imp
Externí odkaz:
http://arxiv.org/abs/2009.04703