
Large language models can be used to automatically generate and evaluate multiple-choice reading comprehension test items with acceptable quality, especially for languages with limited available data.


coremsg

automatic-generation-and-evaluation-of-multiple-choice-reading-comprehension-test-items-using-large-language-models


Automatic Generation and Evaluation of Multiple-Choice Reading Comprehension Test Items Using Large Language Models


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Pre-trained language models can effectively control and evaluate the difficulty levels of MC cloze tests.


mc-cloze-test-difficulty-control-with-plm-based-surrogate-models


MC Cloze Test Difficulty Control with PLM-based Surrogate Models
