Zobrazeno 1 - 10
of 248 114
pro vyhledávání: '"Yeon AS"'
Autor:
Kim, Minsun, Kim, SeonGyeom, Lee, Suyoun, Yoon, Yoosang, Myung, Junho, Yoo, Haneul, Lim, Hyunseung, Han, Jieun, Kim, Yoonsu, Ahn, So-Yeon, Kim, Juho, Oh, Alice, Hong, Hwajung, Lee, Tak Yeon
This paper presents the development of a dashboard designed specifically for teachers in English as a Foreign Language (EFL) writing education. Leveraging LLMs, the dashboard facilitates the analysis of student interactions with an essay writing syst
Externí odkaz:
http://arxiv.org/abs/2410.15025
Autor:
Chough, Chang-Yeon
We give a characterization of morphisms in derived algebraic geometry in the more general context of morphisms in spectral algebraic geometry. Using this characterization, we prove two versions of Tannaka duality and the formal GAGA principle in the
Externí odkaz:
http://arxiv.org/abs/2412.13506
Autor:
Zhao, Linfeng, Howell, Owen, Zhu, Xupeng, Park, Jung Yeon, Zhang, Zhewen, Walters, Robin, Wong, Lawson L. S.
Reinforcement learning (RL) algorithms for continuous control tasks require accurate sampling-based action selection. Many tasks, such as robotic manipulation, contain inherent problem symmetries. However, correctly incorporating symmetry into sampli
Externí odkaz:
http://arxiv.org/abs/2412.12237
Training automatic summary fact verifiers often faces the challenge of a lack of human-labeled data. In this paper, we explore alternative way of leveraging Large Language Model (LLM) generated feedback to address the inherent limitation of using hum
Externí odkaz:
http://arxiv.org/abs/2412.10689
Autor:
Kim, Kyoung Yeon
The Schrodinger equation is incomplete, inherently unable to explain the collapse of the wavefunction caused by measurement; a fundamental issue known as the quantum measurement problem. Quantum mechanics is generally constrained by the uncertainty p
Externí odkaz:
http://arxiv.org/abs/2412.13214
Autor:
Li, Wei-Chen, Lin, Chun-Yeon
Common imaging techniques for detecting structural defects typically require sampling at more than twice the spatial frequency to achieve a target resolution. This study introduces a novel framework for imaging structural defects using significantly
Externí odkaz:
http://arxiv.org/abs/2412.01055
Autor:
Kim, Seon Gyeom, Park, Juhyeong, Song, Yutaek, Lee, Donggun, Lee, Yubin, Rossi, Ryan, Hoffswell, Jane, Koh, Eunyee, Lee, Tak Yeon
An increasing number of web articles engage the reader with the feeling of being immersed in the data space. However, the exact characteristics of spatial immersion in the context of visual storytelling remain vague. For example, what are the common
Externí odkaz:
http://arxiv.org/abs/2411.18049
Autor:
Jo, Yong-Yeon, Lee, Byeong Tak, Kim, Beom Joon, Hong, Jeong-Ho, Lee, Hak Seung, Kwon, Joon-myoung
Online Test-Time Adaptation (OTTA) enhances model robustness by updating pre-trained models with unlabeled data during testing. In healthcare, OTTA is vital for real-time tasks like predicting blood pressure from biosignals, which demand continuous a
Externí odkaz:
http://arxiv.org/abs/2411.17785
We propose a generalized Shastry-Sutherland model which bridges the Shastry-Sutherland model and the $J_1$-$J_2$ Heisenberg model. By employing large scale Density Matrix Renormalization Group and Fully Augmented Matrix Product State calculations, co
Externí odkaz:
http://arxiv.org/abs/2411.17452
Multimodal large language models (MLLMs) act as essential interfaces, connecting humans with AI technologies in multimodal applications. However, current MLLMs face challenges in accurately interpreting object orientation in images due to inconsisten
Externí odkaz:
http://arxiv.org/abs/2411.16761