LARGE LANGUAGE MODEL DETUNING IN LEARNING CONTENT UNDERSTANDING
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning byteaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.33965/celda2024_202408l002
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00