Zobrazeno 1 - 10
of 1 053
pro vyhledávání: '"Kim, Minkyu"'
Autor:
Kim, Minkyu, Kim, Panjin
Quantum algorithms have shown successful results in solving noisy linear problems with quantum samples in which cryptographic hard problems are relevant. In this paper the previous results are investigated in detail, leading to new quantum and classi
Externí odkaz:
http://arxiv.org/abs/2404.03932
Recent advances in text-guided image compression have shown great potential to enhance the perceptual quality of reconstructed images. These methods, however, tend to have significantly degraded pixel-wise fidelity, limiting their practicality. To fi
Externí odkaz:
http://arxiv.org/abs/2403.02944
We introduce KorMedMCQA, the first Korean multiple-choice question answering (MCQA) benchmark derived from Korean healthcare professional licensing examinations, covering from the year 2012 to year 2023. This dataset consists of a selection of questi
Externí odkaz:
http://arxiv.org/abs/2403.01469
Autor:
Kim, Taesu, Lee, Jongho, Ahn, Daehyun, Kim, Sarang, Choi, Jiwoong, Kim, Minkyu, Kim, Hyungjun
We introduce QUICK, a group of novel optimized CUDA kernels for the efficient inference of quantized Large Language Models (LLMs). QUICK addresses the shared memory bank-conflict problem of state-of-the-art mixed precision matrix multiplication kerne
Externí odkaz:
http://arxiv.org/abs/2402.10076
Classical clustering methods do not provide users with direct control of the clustering results, and the clustering results may not be consistent with the relevant criterion that a user has in mind. In this work, we present a new methodology for perf
Externí odkaz:
http://arxiv.org/abs/2310.18297
This paper introduces LIVE: Lidar Informed Visual Search focused on the problem of multi-robot (MR) planning and execution for robust visual detection of multiple objects. We perform extensive real-world experiments with a two-robot team in an indoor
Externí odkaz:
http://arxiv.org/abs/2310.04572
Autor:
Choi, Jiwoong, Kim, Minkyu, Ahn, Daehyun, Kim, Taesu, Kim, Yulhwa, Jo, Dongwon, Jeon, Hyesung, Kim, Jae-Joon, Kim, Hyungjun
The emergence of diffusion models has greatly broadened the scope of high-fidelity image synthesis, resulting in notable advancements in both practical implementation and academic research. With the active adoption of the model in various real-world
Externí odkaz:
http://arxiv.org/abs/2307.01193
South Korea's educational system has faced criticism for its lack of focus on critical thinking and creativity, resulting in high levels of stress and anxiety among students. As part of the government's effort to improve the educational system, the i
Externí odkaz:
http://arxiv.org/abs/2306.02106
Vision-language models, such as contrastive language-image pre-training (CLIP), have demonstrated impressive results in natural image domains. However, these models often struggle when applied to specialized domains like remote sensing, and adapting
Externí odkaz:
http://arxiv.org/abs/2305.14095