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  • Sahar Yarmohammadtoosky, Yiyun Zhou, Vic...
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    Apr 30th, 2025
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    preprint
    Sahar Yarmohammadtoosky, Yiyun Zhou, Vic...
    Apr 30th, 2025

    This study examines vulnerabilities in transformer-based automated short-answer grading systems used in medical education, with a focus on how these systems can be manipulated through adversarial gaming strategies. Our research identifies three main types of gaming strategies that exploit the system's weaknesses, potentially leading to false positives. To counteract these vulnerabilities, we implement several adversarial training methods designed to enhance the systems' robustness. Our...

Last update from database: 27/10/2025, 21:15 (UTC)
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