Papers with automatic distractor generation approach

1 papers
Distractor Generation Using Generative and Discriminative Capabilities of Transformer-based Models (2024.lrec-main)

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Challenge: Multiple Choice Questions (MCQs) are used to test language learners' comprehension and knowledge.
Approach: They propose an automatic distractor generation approach which generates correct and incorrect answer options and then discriminates potential correct options from distractors.
Outcome: The proposed approach outperforms previous models on multiple choice questions and reading comprehension questions.

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