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  • Nigel Fernandez, Alexander Scarlatos, An...
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    Jul 22nd, 2024
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    preprint
    Nigel Fernandez, Alexander Scarlatos, An...
    Jul 22nd, 2024

    Automated teaching assistants and chatbots have significant potential to reduce the workload of human instructors, especially for logistics-related question answering, which is important to students yet repetitive for instructors. However, due to privacy concerns, there is a lack of publicly available datasets. We introduce SyllabusQA, an open-source dataset with 63 real course syllabi covering 36 majors, containing 5,078 open-ended course logistics-related question-answer pairs that are...

  • Nigel Fernandez, Aritra Ghosh, Naiming L...
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    Oct 28th, 2022
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    preprint
    Nigel Fernandez, Aritra Ghosh, Naiming L...
    Oct 28th, 2022

    Automated scoring of open-ended student responses has the potential to significantly reduce human grader effort. Recent advances in automated scoring often leverage textual representations based on pre-trained language models such as BERT and GPT as input to scoring models. Most existing approaches train a separate model for each item/question, which is suitable for scenarios such as essay scoring where items can be quite different from one another. However, these approaches have two...

Last update from database: 28/10/2025, 22:15 (UTC)
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