Zobrazeno 1 - 10
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pro vyhledávání: '"Hahm A"'
Autonomous agents powered by large language models (LLMs) show promising potential in assistive tasks across various domains, including mobile device control. As these agents interact directly with personal information and device settings, ensuring t
Externí odkaz:
http://arxiv.org/abs/2410.17520
Publikováno v:
Forty-first International Conference on Machine Learning (ICML 2024)
The latent space of diffusion model mostly still remains unexplored, despite its great success and potential in the field of generative modeling. In fact, the latent space of existing diffusion models are entangled, with a distorted mapping from its
Externí odkaz:
http://arxiv.org/abs/2407.11451
Neural Radiance Fields (NeRF) have shown remarkable success in representing 3D scenes and generating novel views. However, they often struggle with aliasing artifacts, especially when rendering images from different camera distances from the training
Externí odkaz:
http://arxiv.org/abs/2406.13251
Autor:
Lee, Juyong, Min, Taywon, An, Minyong, Hahm, Dongyoon, Lee, Haeone, Kim, Changyeon, Lee, Kimin
Mobile device control agents can largely enhance user interactions and productivity by automating daily tasks. However, despite growing interest in developing practical agents, the absence of a commonly adopted benchmark in this area makes it challen
Externí odkaz:
http://arxiv.org/abs/2404.16660
Environmental, social, and governance (ESG) factors are widely adopted as higher investment return indicators. Accordingly, ongoing efforts are being made to automate ESG evaluation with language models to extract signals from massive web text easily
Externí odkaz:
http://arxiv.org/abs/2403.15040
Autor:
Choi, ChangSu, Jeong, Yongbin, Park, Seoyoon, Won, InHo, Lim, HyeonSeok, Kim, SangMin, Kang, Yejee, Yoon, Chanhyuk, Park, Jaewan, Lee, Yiseul, Lee, HyeJin, Hahm, Younggyun, Kim, Hansaem, Lim, KyungTae
Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and research institutes have developed multilingual LLMs (MLLMs) to meet curre
Externí odkaz:
http://arxiv.org/abs/2403.10882
Variational Quantum Algorithms (VQAs) are expected to be promising algorithms with quantum advantages that can be run at quantum computers in the close future. In this work, we review simple rules in basic quantum circuits, and propose a simplificati
Externí odkaz:
http://arxiv.org/abs/2312.06176
Inferring applicant preferences is fundamental in many analyses of school-choice data. Application mistakes make this task challenging. We propose a novel approach to deal with the mistakes in a deferred-acceptance matching environment. The key insig
Externí odkaz:
http://arxiv.org/abs/2309.14297
Autor:
Joon-Pyo Hong, Sooan Shin, So Hyeon Chung, Myung-chul Song, Jin-gon Shim, Yoongeun Kim, Bombi Lee, Mijung Yeom, Hi-Joon Park, Kwang‑Hwan Jung, Jongki Hong, Dae-Hyun Hahm
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Despite the intensive research on gut microbiome-associated diseases over the past 20 years, pharmacological methods for effectively eliminating pathobionts remain unsatisfactory. This study investigated the therapeutic potential of bacterio
Externí odkaz:
https://doaj.org/article/38f670e56fb244c9b078ce27008832b6
Publikováno v:
Applied Biological Chemistry, Vol 67, Iss 1, Pp 1-12 (2024)
Abstract Skeletal muscle atrophy occurs in several pathological conditions. Among other reasons, high-dose or long-term administration of glucocorticoids increases circulating glucocorticoid levels and causes muscle atrophy. The purpose of this study
Externí odkaz:
https://doaj.org/article/245561b6d7b14a17a2e926c7e0e5cc5b