Search Results - Steenhoek, Benjamin

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  1. 1
    An Empirical Study of Deep Learning Models for Vulnerability Detection

    An Empirical Study of Deep Learning Models for Vulnerability Detection by Steenhoek, Benjamin, Rahman, Md Mahbubur, Jiles, Richard, Le, Wei

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  2. 2
    Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection

    Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection by Steenhoek, Benjamin, Gao, Hongyang, Le, Wei

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  3. 3
    TRACED: Execution-Aware Pre-Training for Source Code

    TRACED: Execution-Aware Pre-Training for Source Code by Ding, Yangruibo, Steenhoek, Benjamin, Pei, Kexin, Kaiser, Gail, Le, Wei, Ray, Baishakhi

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  4. 4
    Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection

    Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection by Steenhoek, Benjamin, Gao, Hongyang, Le, Wei

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  5. 5
    Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

    Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation by Steenhoek, Benjamin, Tufano, Michele, Sundaresan, Neel, Svyatkovskiy, Alexey

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  6. 6
    Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection

    Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection by Steenhoek, Benjamin, Md Mahbubur Rahman, Shaila Sharmin, Le, Wei

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  7. 7
    Validating Static Warnings via Testing Code Fragments

    Validating Static Warnings via Testing Code Fragments by Ashwin Kallingal Joshy, Chen, Xueyuan, Steenhoek, Benjamin, Le, Wei

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  8. 8
    Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

    Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation by Steenhoek, Benjamin, Tufano, Michele, Sundaresan, Neel, Svyatkovskiy, Alexey

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  9. 9
    Reproducing Failures in Fault Signatures

    Reproducing Failures in Fault Signatures by Ashwin Kallingal Joshy, Steenhoek, Benjamin, Guo, Xiuyuan, Le, Wei

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  10. 10
    Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE

    Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE by Steenhoek, Benjamin, Sivaraman, Kalpathy, Renata Saldivar Gonzalez, Mohylevskyy, Yevhen, Roshanak Zilouchian Moghaddam, Le, Wei

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  11. 11
    An Empirical Study of Deep Learning Models for Vulnerability Detection

    An Empirical Study of Deep Learning Models for Vulnerability Detection by Steenhoek, Benjamin, Md Mahbubur Rahman, Jiles, Richard, Le, Wei

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  12. 12
    A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection

    A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection by Steenhoek, Benjamin, Md Mahbubur Rahman, Roy, Monoshi Kumar, Alam, Mirza Sanjida, Barr, Earl T, Le, Wei

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  13. 13
    A Study of Static Warning Cascading Tools (Experience Paper)

    A Study of Static Warning Cascading Tools (Experience Paper) by Guo, Xiuyuan, Ashwin Kallingal Joshy, Steenhoek, Benjamin, Le, Wei, Flynn, Lori

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  14. 14
    Achieving MIMO performance with single-antenna radios

    Achieving MIMO performance with single-antenna radios by Kleider, John E, Steenhoek, Chris, Morris, Derek, Hung-Quoc Lai, Zannetti, Bruce, Chin, Tony, Xiaoli Ma, Hamilton, Benjamin

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