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Advancing Software Vulnerability Detection with Reasoning LLMs: DeepSeek-R1′s Performance and Insights.

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Title: Advancing Software Vulnerability Detection with Reasoning LLMs: DeepSeek-R1′s Performance and Insights.
Authors: Qin, Wenting1, Suo, Lijie1,2, Li, Liangchen1,2, Yang, Fan1,2, fanyang@njtech.edu.cn
Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6651, 29p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Advancing Software Vulnerability Detection with Reasoning LLMs: DeepSeek-R1′s Performance and Insights.
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  Data: <searchLink fieldCode="AU" term="%22Qin%2C+Wenting%22">Qin, Wenting</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Suo%2C+Lijie%22">Suo, Lijie</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Liangchen%22">Li, Liangchen</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Yang%2C+Fan%22">Yang, Fan</searchLink><relatesTo>1,2</relatesTo>, <i>fanyang@njtech.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2025, Vol. 15 Issue 12, p6651, 29p
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        Value: 10.3390/app15126651
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      – Code: eng
        Text: English
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        StartPage: 6651
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      – TitleFull: Advancing Software Vulnerability Detection with Reasoning LLMs: DeepSeek-R1′s Performance and Insights.
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            NameFull: Suo, Lijie
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              Text: Jun2025
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