Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data Article Swipe

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Xin-Cheng Wen , Yijun Yang , C. S. Gao , Yang Xiao , Deheng Ye ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.18653/v1/2025.findings-acl.467

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Boosting (Machine Learning)

Computer Science

Artificial Intelligence

Computer Security

Economics

Microeconomics

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Vulnerability (computing) Boosting (machine learning) Preference Computer science Artificial intelligence Computer security Economics Microeconomics

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Type: article
Language: en
Landing Page: https://doi.org/10.18653/v1/2025.findings-acl.467
PDF: https://aclanthology.org/2025.findings-acl.467.pdf
OA Status: gold
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DOI: https://doi.org/10.18653/v1/2025.findings-acl.467

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Title: Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-01-01

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Authors: Xin-Cheng Wen, Yijun Yang, C. S. Gao, Yang Xiao, Deheng Ye

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Landing page: https://doi.org/10.18653/v1/2025.findings-acl.467

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PDF URL: https://aclanthology.org/2025.findings-acl.467.pdf

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Open access: Yes

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OA status: gold

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OA URL: https://aclanthology.org/2025.findings-acl.467.pdf

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Concepts: Vulnerability (computing), Boosting (machine learning), Preference, Computer science, Artificial intelligence, Computer security, Economics, Microeconomics

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Cited by: 0

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Related works (count): 10

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