Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency
Article Status
Published
Authors/contributors
- Zelikman, Eric (Author)
- Ma, Wanjing Anya (Author)
- Tran, Jasmine E. (Author)
- Yang, Diyi (Author)
- Yeatman, Jason D. (Author)
- Haber, Nick (Author)
Title
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency
Date
2023
Proceedings Title
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Conference Name
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Place
Singapore
Pages
2190-2205
Extra
Citation Key: zelikman2025
<标题>: 使用语言模型模拟为中小学生生成和评估测试：以句子阅读效率为例的案例研究
Citation
Zelikman, E., Ma, W. A., Tran, J. E., Yang, D., Yeatman, J. D., & Haber, N. (2023). Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2190–2205. https://aclanthology.org/2023.emnlp-main.135
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