2 resources

  • Sabina Elkins, Ekaterina Kochmar, Jackie...
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    Dec 19th, 2023
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    preprint
    Sabina Elkins, Ekaterina Kochmar, Jackie...
    Dec 19th, 2023

    Controllable text generation (CTG) by large language models has a huge potential to transform education for teachers and students alike. Specifically, high quality and diverse question generation can dramatically reduce the load on teachers and improve the quality of their educational content. Recent work in this domain has made progress with generation, but fails to show that real teachers judge the generated questions as sufficiently useful for the classroom setting; or if instead the...

  • Imran Chamieh, Torsten Zesch, Klaus Gieb...
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    Jun 19th, 2024
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    conferencePaper
    Imran Chamieh, Torsten Zesch, Klaus Gieb...
    Jun 19th, 2024

    In this work, we investigate the potential of Large Language Models (LLMs) for automated short answer scoring. We test zero-shot and few-shot settings, and compare with fine-tuned models and a supervised upper-bound, across three diverse datasets. Our results, in zero-shot and few-shot settings, show that LLMs perform poorly in these settings: LLMs have difficulty with tasks that require complex reasoning or domain-specific knowledge. While the models show promise on general knowledge tasks....

Last update from database: 19/12/2025, 11:15 (UTC)
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