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pro vyhledávání: '"Park, June"'
Large language models (LLMs) have achieved impressive results across various tasks. However, they still struggle with long-context documents. This study evaluates the performance of three leading LLMs: GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro on
Externí odkaz:
http://arxiv.org/abs/2410.11265
Large language models (LLMs) have achieved significant performance gains using advanced prompting techniques over various tasks. However, the increasing length of prompts leads to high computational costs and often obscures crucial information. Promp
Externí odkaz:
http://arxiv.org/abs/2410.04139
Autor:
Ham, Dohyun, Jeong, Jaeyeop, Park, June-Kyoo, Jeong, Raehyeon, Jeon, Seungmin, Jeon, Hyeongjun, Lim, Yewon
This paper presents a method for optimizing object detection models by combining weight pruning and singular value decomposition (SVD). The proposed method was evaluated on a custom dataset of street work images obtained from https://universe.roboflo
Externí odkaz:
http://arxiv.org/abs/2303.02735
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Autor:
Quintana, Matias, Stoeckmann, Till, Park, June Young, Turowski, Marian, Hagenmeyer, Veit, Miller, Clayton
Publikováno v:
Energy & Buildings. 2022;265: 112096
Data-driven building energy prediction is an integral part of the process for measurement and verification, building benchmarking, and building-to-grid interaction. The ASHRAE Great Energy Predictor III (GEPIII) machine learning competition used an e
Externí odkaz:
http://arxiv.org/abs/2203.06618
Autor:
Lee, Byoungcheun, Min, Eun Ki, Kim, Geunbae, Hong, Gilsang, Seo, Jungkwan, Choi, Jin Soo, Park, June-Woo, Kim, Ki-Tae
Publikováno v:
In Ecotoxicology and Environmental Safety 15 October 2024 285
Publikováno v:
In Ecotoxicology and Environmental Safety 15 October 2024 285
Co-exposure to microplastic and plastic additives causes development impairment in zebrafish embryos
Publikováno v:
In Aquatic Toxicology August 2024 273
Publikováno v:
In Science of the Total Environment 10 June 2024 928