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Reading comprehension is a crucial skill in many aspects of education, including language learning, cognitive development, and fostering early literacy skills in children.
Language models are few-shot learners
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Fine-tuning language models from human preferences
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A feasibility study of answer-unaware question generation for education
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Rank analysis of incomplete block designs: I. the method of paired comparisons
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Dialogic reading: A shared picture book reading intervention for preschoolers
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Rouge: A package for automatic evaluation of summaries
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The development of narrative comprehension and its relation to other early reading skills
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Kullback-leibler divergence
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Shared book reading by parents with young children: Evidence-based practice
Susan Sim and Donna Berthelsen. 2014 · 2014
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Enhancing parent-child relationship through dialogic reading
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2017 · 2017
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The narrativeqa reading comprehension challenge
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Qg-net: a data-driven question generation model for educational content
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Language matters: Denying the existence of the 30-million-word gap has serious consequences
Roberta Michnick Golinkoff, Erika Hoff, Meredith L Rowe, Catherine S Tamis-LeMonda, and Kathy Hirsh-Pasek. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
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Convbert: Improving bert with span-based dynamic convolution
Zi-Hang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, and Shuicheng Yan. 2020 · 2020
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A systematic review of automatic question generation for educational purposes
Ghader Kurdi, Jared Leo, Bijan Parsia, Uli Sattler, and Salam Al-Emari. 2020 · 2020
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Same benefits, different communication patterns: Comparing children’s reading with a conversational agent vs. a human partner
Ying Xu, Dakuo Wang, Penelope Collins, Hyelim Lee, and Mark Warschauer. 2021 · 2021
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Scaling instruction-finetuned language models
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Measuring and narrowing the compositionality gap in language models
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Educational multi-question generation for reading comprehension
Manav Rathod, Tony Tu, and Katherine Stasaski. 2022 · 2022
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A contrastive framework for neural text generation
Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, and Nigel Collier. 2022 · 2022
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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Exploring automated question answering methods for teaching assistance
Brian Zylich, Adam Viola, Brokk Toggerson, Lara Al-Hariri, and Andrew Lan. 2020 · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
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TellMeWhy: A dataset for answering why-questions in narratives
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, and Niranjan Balasubramanian. 2021 · 2021
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Automatically generating cause-and-effect questions from passages
Katherine Stasaski, Manav Rathod, Tony Tu, Yunfang Xiao, and Marti A Hearst. 2021 · 2021
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou. 2022 · 2022
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It is AI’s turn to ask humans a question: Question-answer pair generation for children’s story books
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Li, Mo Yu, and Ying Xu. 2022 · 2022
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Selecting better samples from pre-trained llms: A case study on question generation
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Pauline Lucas, Hélène Sauzéon, and Pierre-Yves Oudeyer. 2022 · 2022
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Storybuddy: A human-ai collaborative chatbot for parent-child interactive storytelling with flexible parental involvement
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, and Toby Jia-Jun Li. 2022 · 2022
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Educational question generation of children storybooks via question type distribution learning and event-centric summarization
Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, and Xiaojuan Ma. 2022 · 2022
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Automatic true/false question generation for educational purpose
Bowei Zou, Pengfei Li, Liangming Pan, and Aiti Aw. 2022 · 2022
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Replug: Retrieval-augmented black-box language models
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, and Wen-tau Yih. 2023 · 2023
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