Fetching the paper…
Reading the bibliography…
Recent work on question generation has largely focused on factoid questions such as who, what, where, when about basic facts.
Ctrl: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R Varshney, Caiming Xiong, and Richard Socher. 2019 · 1909
Earlier work this paper cites.
Accelerating real-time question answering via question generation
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu, and Chenguang Zhu. 2020 · 2009
Earlier work this paper cites.
Unsupervised multi-hop question answering by question generation
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, and William Yang Wang. 2020 · 2010
Earlier work this paper cites.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
Learning to ask: Neural question generation for reading comprehension
Xinya Du, Junru Shao, and Claire Cardie. 2017 · 2017
Earlier work this paper cites.
TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
QuAC: Question answering in context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Earlier work this paper cites.
Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Earlier work this paper cites.
Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
Earlier work this paper cites.
Know what you don’t know: Unanswerable questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
Earlier work this paper cites.
Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Sudha Rao and Hal Daumé III. 2018 · 2018
Earlier work this paper cites.
Hallucination in neural nlg
Ehud Reiter. 2018 · 2018
Earlier work this paper cites.
Leveraging context information for natural question generation
Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, and Daniel Gildea. 2018 · 2018
Earlier work this paper cites.
Neural models for key phrase extraction and question generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, and Yoshua Bengio. 2018 · 2018
Cited alongside, same era.
Paragraph-level neural question generation with maxout pointer and gated self-attention networks
Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, and Qifa Ke. 2018 · 2018
Cited alongside, same era.
Synthetic QA corpora generation with roundtrip consistency
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, and Michael Collins. 2019 · 2019
Cited alongside, same era.
ELI5: Long form question answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 2019
Cited alongside, same era.
Improving question generation with to the point context
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, and Michael R. Lyu. 2019 · 2019
Cited alongside, same era.
Towards answer-unaware conversational question generation
Ask to learn: A study on curiosity-driven question generation
Thomas Scialom and Jacopo Staiano. 2020 · 2020
Later among the works it cites.
BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
Later among the works it cites.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Later among the works it cites.
Controllable open-ended question generation with a new question type ontology
Shuyang Cao and Lu Wang. 2021 · 2021
Later among the works it cites.
The perils of using Mechanical Turk to evaluate open-ended text generation
Marzena Karpinska, Nader Akoury, and Mohit Iyyer. 2021 · 2021
Later among the works it cites.
Aurko roy, and mohit iyyer. 2021. hurdles to progress in long-form question answering
Kalpesh Krishna. 2021 · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mao Nakanishi, Tetsunori Kobayashi, and Yoshihiko Hayashi. 2019 · 2019
Cited alongside, same era.
Answer-based Adversarial Training for Generating Clarification Questions
Sudha Rao and Hal Daumé III. 2019 · 2019
Cited alongside, same era.
CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2019 · 2019
Cited alongside, same era.
Self-attention architectures for answer-agnostic neural question generation
Thomas Scialom, Benjamin Piwowarski, and Jacopo Staiano. 2019 · 2019
Cited alongside, same era.
The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
Cited alongside, same era.
A multi-agent communication framework for question-worthy phrase extraction and question generation
Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, and Xuanjing Huang. 2019 · 2019
Cited alongside, same era.
Yake! keyword extraction from single documents using multiple local features
Ricardo Campos, Vítor Mangaravite, Arian Pasquali, A. Jorge, C. Nunes, and Adam Jatowt. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, and Sebastian Riedel. 2021 · 2021
Later among the works it cites.
Ask what’s missing and what’s useful: Improving clarification question generation using global knowledge
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, and Julian McAuley. 2021 · 2021
Later among the works it cites.
Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen H Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al. 2021 · 2021
Later among the works it cites.
Societal biases in language generation: Progress and challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2021 · 2021
Later among the works it cites.
“what makes a question inquisitive?” a study on type-controlled inquisitive question generation
Lingyu Gao, Debanjan Ghosh, and Kevin Gimpel. 2022 · 2022
Closest in time.
LongT5: Efficient text-to-text transformer for long sequences
Mandy Guo, Joshua Ainslie, David Uthus, Santiago Ontanon, Jianmo Ni, Yun-Hsuan Sung, and Yinfei Yang. 2022 · 2022
Closest in time.
Quiz design task: Helping teachers create quizzes with automated question generation
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs’ka, Wenhao Liu, and Caiming Xiong. 2022a · 2022
Closest in time.