Zobrazeno 1 - 10
of 1 035
pro vyhledávání: '"Song Da In"'
Autor:
Yu Aran, Kim Moohyuk, Song Da In, Park Byoung Jun, Jeong Hae Rin, You Byeong Uk, Jeon Seung-Woo, Han Sang-Wook, Kim Myung-Ki
Publikováno v:
Nanophotonics, Vol 13, Iss 16, Pp 2903-2913 (2024)
Despite their excellent performance and versatility, the efficient integration of small lasers with other optical devices has long been hindered by their broad emission divergence. In this study, we introduce a novel approach for emission engineering
Externí odkaz:
https://doaj.org/article/e378a11f4f114e1e94848fecdce8ce0a
Large Language Models (LLMs) are widely used in many different domains, but because of their limited interpretability, there are questions about how trustworthy they are in various perspectives, e.g., truthfulness and toxicity. Recent research has st
Externí odkaz:
http://arxiv.org/abs/2408.10474
Large Language Models (LLMs) have shown great potential in code generation. However, current LLMs still cannot reliably generate correct code. Moreover, it is unclear what kinds of code generation errors LLMs can make. To address this, we conducted a
Externí odkaz:
http://arxiv.org/abs/2406.08731
Autor:
Wang, Wenhan, Yang, Chenyuan, Wang, Zhijie, Huang, Yuheng, Chu, Zhaoyang, Song, Da, Zhang, Lingming, Chen, An Ran, Ma, Lei
Testing plays a crucial role in the software development cycle, enabling the detection of bugs, vulnerabilities, and other undesirable behaviors. To perform software testing, testers need to write code snippets that execute the program under test. Re
Externí odkaz:
http://arxiv.org/abs/2406.04531
Publikováno v:
Nanophotonics, Vol 9, Iss 16, Pp 4729-4735 (2020)
Thermally induced particle hopping in the nanoscale double-well potential is fundamental in material design and device operation. After the proposal of the basic hopping theory, several experimental studies, including some using the optical trapping
Externí odkaz:
https://doaj.org/article/7dcda6a12259471c9bdca1c41b4ddaa9
While Large Language Models (LLMs) have seen widespread applications across numerous fields, their limited interpretability poses concerns regarding their safe operations from multiple aspects, e.g., truthfulness, robustness, and fairness. Recent res
Externí odkaz:
http://arxiv.org/abs/2404.08517
The recent advancements in Generative AI have significantly advanced the field of text-to-image generation. The state-of-the-art text-to-image model, Stable Diffusion, is now capable of synthesizing high-quality images with a strong sense of aestheti
Externí odkaz:
http://arxiv.org/abs/2403.04014
Over the past decade, Artificial Intelligence (AI) has had great success recently and is being used in a wide range of academic and industrial fields. More recently, LLMs have made rapid advancements that have propelled AI to a new level, enabling ev
Externí odkaz:
http://arxiv.org/abs/2310.14211
Autor:
Xin, Li-Ping, Li, Hua-li, Wang, Jing, Han, Xu-Hui, Cai, Hong-Bo, Huang, Xin-Bo, Cao, Jia-Xin, Zhu, Yi-Nan, Wang, Xiang-Gao, Li, Guang-Wei, Ren, Bin, Gao, Cheng, Song, Da, Huang, Lei, Lu, Xiao-Meng, Bai, Jian-Ying, Qiu, Yu-Lei, Liang, En-Wei, Dai, Zi-Gao, Wang, Xiang-Yu, Wu, Chao, Deng, Jing-Song, Yang, Yuan-Gui, Wei, Jian-Yan
White-light superflares from ultra cool stars are thought to be resulted from magnetic reconnection, but the magnetic dynamics in a fully convective star is not clear yet. In this paper, we report a stellar superflare detected with the Ground Wide An
Externí odkaz:
http://arxiv.org/abs/2303.17415
Recurrent Neural Networks (RNNs) have been widely used in Natural Language Processing (NLP) tasks given its superior performance on processing sequential data. However, it is challenging to interpret and debug RNNs due to the inherent complexity and
Externí odkaz:
http://arxiv.org/abs/2303.01576