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Socratic questioning is an educational method that allows students to discover answers to complex problems by asking them a series of thoughtful questions.
Language models are few-shot learners
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Training question answering models from synthetic data
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A question type driven framework to diversify visual question generation
Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, and Xuanjing Huang. 2018 · 2018
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Effectiveness of computer-based scaffolding in the context of problem-based learning for stem education: Bayesian meta-analysis
Nam Ju Kim, Brian R Belland, and Andrew E Walker. 2018 · 2018
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Generating wikipedia by summarizing long sequences
Peter J Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Style transfer through back-translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, and Alan W Black. 2018 · 2018
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Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Sudha Rao and Hal Daumé III. 2018 · 2018
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Training verifiers to solve math word problems
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Entity guided question generation with contextual structure and sequence information capturing
Qingbao Huang, Mingyi Fu, Linzhang Mo, Yi Cai, Jingyun Xu, Pijian Li, Qing Li, and Ho-fung Leung. 2021 · 2021
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Fine-grained controllable text generation using non-residual prompting
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Chain of thought prompting elicits reasoning in large language models
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Are NLP models really able to solve simple math word problems?
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