From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection | Paper Citation Record

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection Vulnerability Detection with Code Language Models: How Far Are We?

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection Ali Babar

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection 2025.NIST Software Assurance Reference Dataset

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings(Lisbon, Portugal)(ICSE-Companion ’24)

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection InProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses

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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection IEEE Transactions on Software Engineering50, 8 (2024), 2178–2199

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