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pro vyhledávání: '"Kim, Jung"'
In this paper we define absorptive Compton amplitudes, which captures the absorption factor for waves of spin-weight-$s$ scattering in black hole perturbation theory. At the leading order, in the $G M \omega$ expansion, such amplitudes are purely ima
Externí odkaz:
http://arxiv.org/abs/2411.03382
In a classical scattering problem, the classical eikonal is defined as the generator of the canonical transformation that maps in-states to out-states. It can be regarded as the classical limit of the log of the quantum S-matrix. In a classical analo
Externí odkaz:
http://arxiv.org/abs/2410.22988
Autor:
Kim, Jung-hun, Oh, Min-hwan
In this study, we consider multi-class multi-server asymmetric queueing systems consisting of $N$ queues on one side and $K$ servers on the other side, where jobs randomly arrive in queues at each time. The service rate of each job-server assignment
Externí odkaz:
http://arxiv.org/abs/2410.10098
Autor:
Li, Jianwei, Kim, Jung-Eun
As large language models (LLMs) are overwhelmingly more and more integrated into various applications, ensuring they generate safe and aligned responses is a pressing need. Previous research on alignment has largely focused on general instruction-fol
Externí odkaz:
http://arxiv.org/abs/2410.10862
Autor:
Rho, Donghwan, Kim, Taeseong, Park, Minje, Kim, Jung Woo, Chae, Hyunsik, Cheon, Jung Hee, Ryu, Ernest K.
Large language models (LLMs) offer personalized responses based on user interactions, but this use case raises serious privacy concerns. Homomorphic encryption (HE) is a cryptographic protocol supporting arithmetic computations in encrypted states an
Externí odkaz:
http://arxiv.org/abs/2410.02486
Abstract. The advancement of deep learning has coincided with the proliferation of both models and available data. The surge in dataset sizes and the subsequent surge in computational requirements have led to the development of the Dataset Condensati
Externí odkaz:
http://arxiv.org/abs/2409.14538
Autor:
Moon, Seungjae, Kim, Jung-Hoon, Kim, Junsoo, Hong, Seongmin, Cha, Junseo, Kim, Minsu, Lim, Sukbin, Choi, Gyubin, Seo, Dongjin, Kim, Jongho, Lee, Hunjong, Park, Hyunjun, Ko, Ryeowook, Choi, Soongyu, Park, Jongse, Lee, Jinwon, Kim, Joo-Young
The explosive arrival of OpenAI's ChatGPT has fueled the globalization of large language model (LLM), which consists of billions of pretrained parameters that embodies the aspects of syntax and semantics. HyperAccel introduces latency processing unit
Externí odkaz:
http://arxiv.org/abs/2408.07326
Monocular 3D object detection is an important challenging task in autonomous driving. Existing methods mainly focus on performing 3D detection in ideal weather conditions, characterized by scenarios with clear and optimal visibility. However, the cha
Externí odkaz:
http://arxiv.org/abs/2407.16448
Recent Audio-Visual Question Answering (AVQA) methods rely on complete visual and audio input to answer questions accurately. However, in real-world scenarios, issues such as device malfunctions and data transmission errors frequently result in missi
Externí odkaz:
http://arxiv.org/abs/2407.16171
Autor:
Fang, Xingli, Kim, Jung-Eun
The privacy-preserving approaches to machine learning (ML) models have made substantial progress in recent years. However, it is still opaque in which circumstances and conditions the model becomes privacy-vulnerable, leading to a challenge for ML mo
Externí odkaz:
http://arxiv.org/abs/2407.16164