Zobrazeno 1 - 10
of 6 185
pro vyhledávání: '"Chan, Young"'
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
This study presents a comprehensive benchmark analysis of various YOLO (You Only Look Once) algorithms, from YOLOv3 to the newest addition. It represents the first research to comprehensively evaluate the performance of YOLO11, the latest addition to
Externí odkaz:
http://arxiv.org/abs/2411.00201
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
As we enter the era of big data, collecting high-quality data is very important. However, collecting data by humans is not only very time-consuming but also expensive. Therefore, many scientists have devised various methods to collect data using comp
Externí odkaz:
http://arxiv.org/abs/2410.12561
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:
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, 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:
Brattoli, Biagio, Mostafavi, Mohammad, Lee, Taebum, Jung, Wonkyung, Ryu, Jeongun, Park, Seonwook, Park, Jongchan, Pereira, Sergio, Shin, Seunghwan, Choi, Sangjoon, Kim, Hyojin, Yoo, Donggeun, Ali, Siraj M., Paeng, Kyunghyun, Ock, Chan-Young, Cho, Soo Ick, Kim, Seokhwi
Despite advancements in methodologies, immunohistochemistry (IHC) remains the most utilized ancillary test for histopathologic and companion diagnostics in targeted therapies. However, objective IHC assessment poses challenges. Artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2407.20643
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
Autor:
Park, Chan Young, Li, Shuyue Stella, Jung, Hayoung, Volkova, Svitlana, Mitra, Tanushree, Jurgens, David, Tsvetkov, Yulia
This study introduces ValueScope, a framework leveraging language models to quantify social norms and values within online communities, grounded in social science perspectives on normative structures. We employ ValueScope to dissect and analyze lingu
Externí odkaz:
http://arxiv.org/abs/2407.02472