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Responding to the thousands of student questions on online QA platforms each semester has a considerable human cost, particularly in computing courses with rapidly growing enrollments.
Retrieval-Augmented generation for Knowledge-Intensive NLP tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-Tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela · 2005
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Jill watson
Ashok K Goel and Lalith Polepeddi · 2018
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Julia Kreutzer, Joshua Uyheng, and Stefan Riezler · 2018
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Assessing and responding to the growth of computer science undergraduate enrollments
Medicine National Academies of Sciences, Engineering et al · 2018
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CoQA: A conversational question answering challenge
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Dense passage retrieval for open-domain question answering
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Learning to summarize with human feedback
Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul F Christiano · 2020
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Bertscore: Evaluating text generation with bert
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi · 2020
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Does the whole exceed its parts? the effect of AI explanations on complementary team performance
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