A scientific-article key-insight extraction system based on multi-actor of fine-tuned open-source large language models

Abstract The exponential growth of scientific articles has presented challenges in information organization and extraction. Automation is urgently needed to streamline literature reviews and enhance insight extraction. We explore the potential of Large Language Models (LLMs) in key-insights extracti...

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Bibliographic Details
Main Authors: Zihan Song, Gyo-Yeob Hwang, Xin Zhang, Shan Huang, Byung-Kwon Park
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-85715-7
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