Zobrazeno 1 - 10
of 12 828
pro vyhledávání: '"Kwon, Oh In"'
Publikováno v:
EMNLP 2024
A critical component of the current generation of language models is preference alignment, which aims to precisely control the model's behavior to meet human needs and values. The most notable among such methods is Reinforcement Learning with Human F
Externí odkaz:
http://arxiv.org/abs/2410.15096
The mixture of experts (MoE) model is a versatile framework for predictive modeling that has gained renewed interest in the age of large language models. A collection of predictive ``experts'' is learned along with a ``gating function'' that controls
Externí odkaz:
http://arxiv.org/abs/2410.09039
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Lee, Gyeong Taek, Kwon, Oh-Ran
In the manufacturing process, sensor data collected from equipment is crucial for building predictive models to manage processes and improve productivity. However, in the field, it is challenging to gather sufficient data to build robust models. This
Externí odkaz:
http://arxiv.org/abs/2407.06682
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 12, Pp 5190-5200 (2024)
The application of the induction bending process in pipe fabrication is expanding across industries, significantly reducing leakage by minimizing welded sections in curved pipes. In this study, the applicability of the induction bending process to P9
Externí odkaz:
https://doaj.org/article/4de3b8dbfe4f4819a0fed5269e1e07c7
Autor:
Kim, Hwiyeon, Kim, Joohee, Han, Yunha, Hong, Hwajung, Kwon, Oh-Sang, Park, Young-Woo, Elmqvist, Niklas, Ko, Sungahn, Kwon, Bum Chul
As online news increasingly include data journalism, there is a corresponding increase in the incorporation of visualization in article thumbnail images. However, little research exists on the design rationale for visualization thumbnails, such as re
Externí odkaz:
http://arxiv.org/abs/2305.17051
Publikováno v:
EPJ Data Sci. 12, 57 (2023)
The gravity model of human mobility has successfully described the deterrence of travels with distance in urban mobility patterns. While a broad spectrum of deterrence was found across different cities, yet it is not empirically clear if movement pat
Externí odkaz:
http://arxiv.org/abs/2305.15665
Autor:
Kwon, Oh-Ran, Zou, Hui
The response envelope model provides substantial efficiency gains over the standard multivariate linear regression by identifying the material part of the response to the model and by excluding the immaterial part. In this paper, we propose the enhan
Externí odkaz:
http://arxiv.org/abs/2301.04625
Autor:
Kwon, Oh-Hun, Zell, Eduard
Several leading methods on public benchmarks for depth-from-stereo rely on memory-demanding 4D cost volumes and computationally intensive 3D convolutions for feature matching. We suggest a new way to process the 4D cost volume where we merge two diff
Externí odkaz:
http://arxiv.org/abs/2301.00695
Autor:
Rassoul Tabassian, Araz Rajabi‐Abhari, Manmatha Mahato, Hyunjoon Yoo, Hong Yeon Yoon, Jeong Young Park, Il‐Kwon Oh
Publikováno v:
SmartMat, Vol 5, Iss 5, Pp n/a-n/a (2024)
Abstract Metal‐organic frameworks (MOFs) are nanomaterials with engineered chemical structures, offering remarkable properties. However, their limited film‐formation capability hinders their integration into triboelectric nanogenerators (TENGs).
Externí odkaz:
https://doaj.org/article/9ddab0ab1190424fbd6c3678fc48589a