S Maity,A Deroy,S Sarkar 摘要: We introduce a multi-stage prompting approach (MSP) for the generation of multiple choice questions (MCQs), harnessing the capabilities of GPT models such as text-davinci-003 and GPT-4, renowned for their excellence across various NLP tasks. Our approach ...
Code Issues Pull requests Easy to use and understand multiple-choice question generation algorithm using T5 Transformers. nlp ai test ml transformers neural-networks quiz sense2vec mcq multiple-choice question-generation t5 distractors Updated Mar 7, 2022 Jupyter Notebook Code...
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