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pro vyhledávání: '"chen, Yao"'
Burn efficiency is a key for commercial feasibility of fusion power station for inertial fusion energy, while burn efficiency is usually lower than 30% in the central ignition scheme of inertial confinement fusion (ICF). A recent conceptual design fo
Externí odkaz:
http://arxiv.org/abs/2412.18455
Heterogeneous computing, which incorporates GPUs, NPUs, and FPGAs, is increasingly utilized to improve the efficiency of computer systems. However, this shift has given rise to significant security and privacy concerns, especially when the execution
Externí odkaz:
http://arxiv.org/abs/2412.13905
As large language models (LLMs) grow in size, traditional full fine-tuning becomes increasingly impractical due to its high computational and storage costs. Although popular parameter-efficient fine-tuning methods, such as LoRA, have significantly re
Externí odkaz:
http://arxiv.org/abs/2412.10135
Low-resolution fine-grained image classification has recently made significant progress, largely thanks to the super-resolution techniques and knowledge distillation methods. However, these approaches lead to an exponential increase in the number of
Externí odkaz:
http://arxiv.org/abs/2411.17980
The data-driven method for infrared small target detection (IRSTD) has achieved promising results. However, due to the small scale of infrared small target datasets and the limited number of pixels occupied by the targets themselves, it is a challeng
Externí odkaz:
http://arxiv.org/abs/2411.13260
This study introduces a novel approach to sentence-level relation extraction (RE) that integrates Graph Neural Networks (GNNs) with Large Language Models (LLMs) to generate contextually enriched support documents. By harnessing the power of LLMs to g
Externí odkaz:
http://arxiv.org/abs/2410.23452
Autor:
Shaughnessy, Michael F.
Publikováno v:
Journal of Gifted Education & Creativity; Summer2024, Vol. 11 Issue 2, p85-89, 5p
The increasing size and complexity of Large Language Models (LLMs) pose challenges for their deployment on personal computers and mobile devices. Aggressive post-training model compression is necessary to reduce the models' size, but it often results
Externí odkaz:
http://arxiv.org/abs/2409.20094
Alpha-proton differential flow ($V_{\alpha p}$) of coronal mass ejections (CMEs) and solar wind from the Sun to 1 au and beyond could influence the instantaneous correspondence of absolute abundances of alpha particles (He$^{2+}$/H$^{+}$) between sol
Externí odkaz:
http://arxiv.org/abs/2409.10799
Autor:
Chen, Yao, Decker, Savannah M., Bruza, Petr, Gladstone, David J., Jarvis, Lesley A., Pogue, Brian W., Samkoe, Kimberley S., Zhang, Rongxiao
Accurate patient positioning is critical for precise radiotherapy dose delivery, as positioning errors can significantly affect treatment outcomes. This study introduces a novel method for tracking loco-regional tissue deformation through Cherenkov i
Externí odkaz:
http://arxiv.org/abs/2409.05680