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Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? — A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments.

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Title: Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? — A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments.
Authors: Chen, Yibo1 (AUTHOR) 924926706@qq.com, Ping, Yang1 (AUTHOR), Zhou, Shuhang2 (AUTHOR), Jojo, Caleb3 (AUTHOR)
Source: PLoS ONE. 7/8/2026, Vol. 21 Issue 7, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? — A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Yibo%22">Chen, Yibo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 924926706@qq.com</i><br /><searchLink fieldCode="AR" term="%22Ping%2C+Yang%22">Ping, Yang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Shuhang%22">Zhou, Shuhang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jojo%2C+Caleb%22">Jojo, Caleb</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/8/2026, Vol. 21 Issue 7, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195178070
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        Value: 10.1371/journal.pone.0352988
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