Zobrazeno 1 - 10
of 32 197
pro vyhledávání: '"Park In Young"'
Autor:
Torres, Kierstin, Park, Joon Young, Posey, Victoria A., Ziebel, Michael E., Casaday, Claire E., Anderton, Kevin J., Cui, Dongtao, Tang, Benjamin, Taniguchi, Takashi, Watanabe, Kenji, Pasupathy, Abhay N., Roy, Xavier, Kim, Philip
The recent discovery of the van der Waals (vdW) layered heavy fermion antiferromagnetic metal CeSiI offers promising potential for achieving accessible quantum criticality in the two-dimensional (2D) limit. CeSiI exhibits both heavy fermion behavior
Externí odkaz:
http://arxiv.org/abs/2411.14722
This paper addresses domain adaptation challenges in graph data resulting from chronological splits. In a transductive graph learning setting, where each node is associated with a timestamp, we focus on the task of Semi-Supervised Node Classification
Externí odkaz:
http://arxiv.org/abs/2411.10957
Alignment of large language models (LLMs) to societal values should account for pluralistic values from diverse groups. One technique uses in-context learning for inference-time alignment, but only considers similarity when drawing few-shot examples,
Externí odkaz:
http://arxiv.org/abs/2411.10912
The sampling problem under local differential privacy has recently been studied with potential applications to generative models, but a fundamental analysis of its privacy-utility trade-off (PUT) remains incomplete. In this work, we define the fundam
Externí odkaz:
http://arxiv.org/abs/2410.22699
Conventional algorithms for training language models (LMs) with human feedback rely on preferences that are assumed to account for an "average" user, disregarding subjectivity and finer-grained variations. Recent studies have raised concerns that agg
Externí odkaz:
http://arxiv.org/abs/2410.16027
Large language models (LLMs) have achieved impressive results across various tasks. However, they still struggle with long-context documents. This study evaluates the performance of three leading LLMs: GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro on
Externí odkaz:
http://arxiv.org/abs/2410.11265
To explain social phenomena and identify systematic biases, much research in computational social science focuses on comparative text analyses. These studies often rely on coarse corpus-level statistics or local word-level analyses, mainly in English
Externí odkaz:
http://arxiv.org/abs/2410.04282
Autor:
Jeon, Soobin, Park, Sang-Young
Recently, the advancement of research on distributed space systems that operate a large number of satellites as a single system urges the need for the investigation of satellite constellations. The communication constellation can be used to construct
Externí odkaz:
http://arxiv.org/abs/2410.03354
Autor:
Chiu, Yu Ying, Jiang, Liwei, Lin, Bill Yuchen, Park, Chan Young, Li, Shuyue Stella, Ravi, Sahithya, Bhatia, Mehar, Antoniak, Maria, Tsvetkov, Yulia, Shwartz, Vered, Choi, Yejin
To make large language models (LLMs) more helpful across diverse cultures, it is essential to have effective cultural knowledge benchmarks to measure and track our progress. Effective benchmarks need to be robust, diverse, and challenging. We introdu
Externí odkaz:
http://arxiv.org/abs/2410.02677
Autor:
Lee, Ji-Eun, Wang, Aifeng, Chen, Shuzhang, Kwon, Minseong, Hwang, Jinwoong, Cho, Minhyun, Son, Ki-Hoon, Han, Dong-Soo, Choi, Jun Woo, Kim, Young Duck, Mo, Sung-Kwan, Petrovic, Cedomir, Hwang, Choongyu, Park, Se Young, Jang, Chaun, Ryu, Hyejin
Publikováno v:
Nature Communications 15, 3971 (2024)
The Berry curvature dipole (BCD) serves as a one of the fundamental contributors to emergence of the nonlinear Hall effect (NLHE). Despite intense interest due to its potential for new technologies reaching beyond the quantum efficiency limit, the in
Externí odkaz:
http://arxiv.org/abs/2408.11658