Zobrazeno 1 - 10
of 120 732
pro vyhledávání: '"KIM, YOUNG"'
Publikováno v:
Comptes Rendus. Mathématique, Vol 361, Iss G1, Pp 257-264 (2023)
We construct a two discrete parameter family of compact minimal surfaces embedded in the Berger sphere which may be considered as the analogue of the helicoidal Karcher-Scherk surfaces.
Externí odkaz:
https://doaj.org/article/f59e58c1dbfb4b5fac3d7ffd30e90ce5
Autor:
Kim, Minkyoung, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Han, Jiye, Kee, Gaeun, Ko, Soyoung, Jung, HyoJe, Kim, Byeolhee, Kim, Young-Hak, Park, Sanghyun, Jun, Tae Joon
Large language models (LLMs) have exhibited outstanding performance in natural language processing tasks. However, these models remain susceptible to adversarial attacks in which slight input perturbations can lead to harmful or misleading outputs. A
Externí odkaz:
http://arxiv.org/abs/2412.13705
Autor:
Kladov, Sergei, Nagaitsev, Sergei, Lumpkin, Alex H., Ruan, Jinhao, Thurman-Keup, Randy M., Saewert, Andrea, Huang, Zhirong, Kim, Young-Kee, Broemmelsiek, Daniel R., Jarvis, Jonathan
This article investigates electron bunch density fluctuations in the 1 - 10 $\mu m$ wavelength range, focusing on their impact on coherent electron cooling (CEC) in hadron storage rings. In this study, we thoroughly compare the shot-noise model with
Externí odkaz:
http://arxiv.org/abs/2412.13482
Autor:
Sharma, Yashvi, Mahabal, Ashish A., Sollerman, Jesper, Fremling, Christoffer, Kulkarni, S. R., Rehemtulla, Nabeel, Miller, Adam A., Aubert, Marie, Chen, Tracy X., Coughlin, Michael W., Graham, Matthew J., Hale, David, Kasliwal, Mansi M., Kim, Young-Lo, Neill, James D., Purdum, Josiah N., Rusholme, Ben, Singh, Avinash, Sravan, Niharika
Supernovae (SNe) come in various flavors and are classified into different types based on emission and absorption lines in their spectra. SN candidates are now abundant with the advent of large systematic dynamic sky surveys like the Zwicky Transient
Externí odkaz:
http://arxiv.org/abs/2412.08601
Recent advancements in Large Language Models (LLMs) have been remarkable, with new models consistently surpassing their predecessors. These advancements are underpinned by extensive research on various training mechanisms. Among these, Preference Opt
Externí odkaz:
http://arxiv.org/abs/2412.07812
Symplectic mappings of the plane serve as key models for exploring the fundamental nature of complex behavior in nonlinear systems. Central to this exploration is the effective visualization of stability regimes, which enables the interpretation of h
Externí odkaz:
http://arxiv.org/abs/2412.05541
Transformer-based large-scale pre-trained models achieve great success, and fine-tuning, which tunes a pre-trained model on a task-specific dataset, is the standard practice to utilize these models for downstream tasks. Recent work has developed adap
Externí odkaz:
http://arxiv.org/abs/2412.03587
Autor:
Go, Dongyoung, Whang, Taesun, Lee, Chanhee, Kim, Hwa-Yeon, Park, Sunghoon, Ji, Seunghwan, Kim, Jinho, Kim, Dongchan, Kim, Young-Bum
The integration of Retrieval-Augmented Generation (RAG) with Multimodal Large Language Models (MLLMs) has revolutionized information retrieval and expanded the practical applications of AI. However, current systems struggle in accurately interpreting
Externí odkaz:
http://arxiv.org/abs/2411.12287
The integration of Distributed Energy Resources (DERs) into power distribution systems has made microgrids foundational to grid modernization. These DERs, connected through power electronic inverters, create power electronics dominated grid architect
Externí odkaz:
http://arxiv.org/abs/2411.08761