Zobrazeno 1 - 10
of 411
pro vyhledávání: '"Kim, Sunghun"'
Autor:
Lee, Yeonghoon, Sur, Yeahan, Kim, Sunghun, Cha, Jaehun, Hyun, Jounghoon, Lim, Chan-young, Hashimoto, Makoto, Lu, Donghui, Kim, Younsik, Huh, Soonsang, Kim, Changyoung, Ideta, Shinichiro, Tanaka, Kiyohisa, Kim, Kee Hoon, Kim, Yeongkwan
In most of charge density wave (CDW) systems of different material classes, ranging from traditional correlated systems in low-dimension to recent topological systems with Kagome lattice, superconductivity emerges when the system is driven toward the
Externí odkaz:
http://arxiv.org/abs/2408.07901
Autor:
Lim, Chan-young, Kim, Min-Seok, Lim, Dong Cheol, Kim, Sunghun, Lee, Yeonghoon, Cha, Jaehoon, Lee, Gyubin, Song, Sang Yong, Thapa, Dinesh, Denlinger, Jonathan D., Kim, Seong-Gon, Kim, Sung Wng, Seo, Jungpil, Kim, Yeongkwan
Publikováno v:
Nat. Commun. 15 (2024) 5615
Two-dimensional electrides can acquire topologically non-trivial phases due to intriguing interplay between the cationic atomic layers and anionic electron layers. However, experimental evidence of topological surface states has yet to be verified. H
Externí odkaz:
http://arxiv.org/abs/2407.09153
Large language models (LLMs) have garnered unprecedented advancements across diverse fields, ranging from natural language processing to computer vision and beyond. The prowess of LLMs is underpinned by their substantial model size, extensive and div
Externí odkaz:
http://arxiv.org/abs/2407.06204
Autor:
Zhang, Peiyan, Yan, Yuchen, Zhang, Xi, Kang, Liying, Li, Chaozhuo, Huang, Feiran, Wang, Senzhang, Kim, Sunghun
In the realm of personalized recommender systems, the challenge of adapting to evolving user preferences and the continuous influx of new users and items is paramount. Conventional models, typically reliant on a static training-test approach, struggl
Externí odkaz:
http://arxiv.org/abs/2406.08229
Autor:
Yang, Hyungryul, Lee, Byeongin, Bang, Junho, Kim, Sunghun, Wulferding, Dirk, Lee, Sung-Hoon, Cho, Doohee
Vertical charge order shapes the electronic properties in layered charge density wave (CDW) materials. Various stacking orders inevitably create nanoscale domains with distinct electronic structures inaccessible to bulk probes. Here, the stacking cha
Externí odkaz:
http://arxiv.org/abs/2406.09460
Publikováno v:
Phys. Rev. B 109, 195170 (2024)
4Hb-TaS2 has been proposed to possess unconventional superconductivity with broken time reveral symmetry due to distinctive layered structure, featuring a heterojunction between a 2D triangular Mott insulator and a charge density wave metal. However,
Externí odkaz:
http://arxiv.org/abs/2406.07960
Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This burgeoning field ha
Externí odkaz:
http://arxiv.org/abs/2406.00515
Expert parallelism has been introduced as a strategy to distribute the computational workload of sparsely-gated mixture-of-experts (MoE) models across multiple computing devices, facilitating the execution of these increasingly large-scale models. Ho
Externí odkaz:
http://arxiv.org/abs/2404.05019
Autor:
Zhou, Peilin, Huang, You-Liang, Xie, Yueqi, Gao, Jingqi, Wang, Shoujin, Kim, Jae Boum, Kim, Sunghun
Sequential recommender systems (SRS) are designed to predict users' future behaviors based on their historical interaction data. Recent research has increasingly utilized contrastive learning (CL) to leverage unsupervised signals to alleviate the dat
Externí odkaz:
http://arxiv.org/abs/2403.11136
Autor:
Zhang, Peiyan, Li, Chaozhuo, Kang, Liying, Huang, Feiran, Wang, Senzhang, Xie, Xing, Kim, Sunghun
We investigate node representation learning on text-attributed graphs (TAGs), where nodes are associated with text information. Although recent studies on graph neural networks (GNNs) and pretrained language models (PLMs) have exhibited their power i
Externí odkaz:
http://arxiv.org/abs/2402.16240