Zobrazeno 1 - 10
of 652
pro vyhledávání: '"Kim, Jae‐Joon"'
Binarization, which converts weight parameters to binary values, has emerged as an effective strategy to reduce the size of large language models (LLMs). However, typical binarization techniques significantly diminish linguistic effectiveness of LLMs
Externí odkaz:
http://arxiv.org/abs/2406.12311
Autor:
Kim, Taejung, Kim, Yonggi, Cho, Wootaek, Kwak, Jong-Hyun, Cho, Jeonghoon, Pyeon, Youjang, Kim, Jae Joon, Shin, Heungjoo
This study presents a novel, ultralow-power single-sensor-based electronic nose (e-nose) system for real-time gas identification, distinguishing itself from conventional sensor-array-based e-nose systems whose power consumption and cost increase with
Externí odkaz:
http://arxiv.org/abs/2404.17130
Large language models (LLMs) have proven to be highly effective across various natural language processing tasks. However, their large number of parameters poses significant challenges for practical deployment. Pruning, a technique aimed at reducing
Externí odkaz:
http://arxiv.org/abs/2402.09025
Due to the high memory and computational costs associated with Large Language Models, model compression via quantization and parameter-efficient fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), are gaining popularity. This has led to a
Externí odkaz:
http://arxiv.org/abs/2402.04902
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
Binary Neural Networks (BNNs) have emerged as a promising solution for reducing the memory footprint and compute costs of deep neural networks, but they suffer from quality degradation due to the lack of freedom as activations and weights are constra
Externí odkaz:
http://arxiv.org/abs/2204.07439
Autor:
Park, Yong-Jin, Kwak, Min Sub, Kim, Yonggi, Na, Sangyun, Chang, Yoojin, Kim, Young-Ryul, Cho, Haryeong, Lee, Seungjae, Kim, Jae Joon, Ko, Hyunhyub
Publikováno v:
In Nano Energy 15 December 2024 132
Publikováno v:
In Biosensors and Bioelectronics 1 November 2024 263
Autor:
Koo, Ryun-Han, Shin, Wonjun, Jung, Gyuweon, Kwon, Dongseok, Kim, Jae-Joon, Kwon, Daewoong, Lee, Jong-Ho
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena June 2024 183
Autor:
Park, Jinwoo, Jung, Gyuweon, Shin, Wonjun, Kim, Donghee, Choi, Kangwook, Shin, Hunhee, Park, Min-Kyu, Kim, Jae-Joon, Lee, Jong-Ho
Publikováno v:
In Sensors and Actuators: B. Chemical 15 April 2024 405