Question Generation

The goal of Question Generation is to generate a valid and fluent question according to a given passage and the target answer. Question Generation can be used in many scenarios, such as automatic tutoring systems, improving the performance of Question Answering models and enabling chatbots to lead a conversation.

Source: Generating Highly Relevant Questions

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 451–475 of 664 papers

Title	Date	Tasks	Status
A Survey of Approaches to Automatic Question Generation:from 2019 to Early 2021	Oct 1, 2021	Question GenerationQuestion-Generation	—Unverified
A Survey on Neural Question Generation: Methods, Applications, and Prospects	Feb 28, 2024	Question GenerationQuestion-Generation	—Unverified
A Syntactic Approach to Domain-Specific Automatic Question Generation	Dec 28, 2017	Question AnsweringQuestion Generation	—Unverified
A System For Robot Concept Learning Through Situated Dialogue	Sep 1, 2022	One-Shot LearningQuestion Generation	—Unverified
A Unified Abstractive Model for Generating Question-Answer Pairs	Oct 16, 2021	Answer GenerationMachine Reading Comprehension	—Unverified
A Unified Query-based Generative Model for Question Generation and Question Answering	Sep 4, 2017	DecoderQuestion Answering	—Unverified
AutoEQA: Auto-Encoding Questions for Extractive Question Answering	Nov 1, 2021	Extractive Question-AnsweringQuestion Answering	—Unverified
Auto FAQ Generation	May 13, 2024	PhilosophyQuestion Generation	—Unverified
AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models	May 19, 2025	Code GenerationCode Translation	—Unverified
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques	Jun 11, 2024	Question GenerationQuestion-Generation	—Unverified
Automated Question Generation on Tabular Data for Conversational Data Exploration	Jul 10, 2024	Language ModellingQuestion Generation	—Unverified
Automatic Answerability Evaluation for Question Generation	Sep 22, 2023	Question GenerationQuestion-Generation	—Unverified
Automatic Follow-up Question Generation for Asynchronous Interviews	Sep 1, 2020	Question GenerationQuestion-Generation	—Unverified
Automatic Generation of Grounded Visual Questions	Dec 20, 2016	DiversityQuestion Generation	—Unverified
Automatic Generation of Multiple-Choice Questions	Mar 25, 2023	Multiple-choicePart-Of-Speech Tagging	—Unverified
Automatic Learning Assistant in Telugu	Aug 1, 2021	Hybrid Machine LearningPOS	—Unverified
Automatic question generation based on sentence structure analysis using machine learning approach	May 25, 2022	BIG-bench Machine LearningNatural Language Understanding	—Unverified
Automatic question generation for propositional logical equivalences	May 9, 2024	AttributeQuestion Generation	—Unverified
Automatic Question Generation in Multimedia-Based Learning	Dec 1, 2012	Question GenerationQuestion-Generation	—Unverified
Automatic Question Generation using Relative Pronouns and Adverbs	Jul 1, 2018	DescriptiveDialogue Generation	—Unverified
Automatic True/False Question Generation for Educational Purpose	Jul 1, 2022	Fact VerificationQuestion Generation	—Unverified
Automating question generation from educational text	Sep 26, 2023	Multiple-choiceQuestion Generation	—Unverified
Automating Reading Comprehension by Generating Question and Answer Pairs	Mar 7, 2018	Answer GenerationQuestion Generation	—Unverified
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions	Oct 1, 2022	Multiple-choicePrediction	—Unverified
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation	Mar 28, 2022	Question GenerationQuestion-Generation	—Unverified

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All datasets SQuAD1.1 COCO Visual Question Answering (VQA) real images 1.0 open ended GrailQA-Compositional GrailQA-IID GrailQA-Zero-Shot FairytaleQA WeiboPolls Natural Questions SQuAD TriviaQA Visual Question Generation

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ERNIE-GENLARGE (beam size=5)	BLEU-4	25.41	—	Unverified
2	BART (TextBox 2.0)	BLEU-4	25.08	—	Unverified
3	ProphetNet + ASGen	BLEU-4	24.44	—	Unverified
4	UniLMv2	BLEU-4	24.43	—	Unverified
5	ProphetNet + syn. mask + localness	BLEU-4	24.37	—	Unverified
6	ProphetNet	BLEU-4	23.91	—	Unverified
7	UniLM + ASGen	BLEU-4	23.7	—	Unverified
8	UniLM	BLEU-4	22.78	—	Unverified
9	BERTSQG	BLEU-4	22.17	—	Unverified
10	Selector & NQG++	BLEU-4	15.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDN	BLEU-1	65.1	—	Unverified
2	coco-Caption [[Karpathy and Li2014]]	BLEU-1	62.5	—	Unverified
3	Max(Yang,2015)	BLEU-1	59.4	—	Unverified
4	Sample(Yang,2015)	BLEU-1	38.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FactJointGT	METEOR	36.21	—	Unverified
2	JointGT	METEOR	36.08	—	Unverified
3	FactT5B	METEOR	35.72	—	Unverified
4	T5B	METEOR	35.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FactT5B	BLEU	46.1	—	Unverified
2	JointGT	BLEU	45.95	—	Unverified
3	T5B	BLEU	44.51	—	Unverified
4	FactJointGT	BLEU	43.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	JointGT	METEOR	37.69	—	Unverified
2	FactJointGT	METEOR	37.55	—	Unverified
3	FactT5B	METEOR	37.39	—	Unverified
4	T5B	METEOR	37.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART fine-tuned on FairytaleQA	ROUGE-L	0.53	—	Unverified
2	BART fine-tuned on NarrativeQA and FairytaleQA	ROUGE-L	0.52	—	Unverified
3	BART fine-tuned on NarrativeQA	ROUGE-L	0.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniPoll	ROUGE-1	49.6	—	Unverified
2	T5	ROUGE-1	44.46	—	Unverified
3	Dual Dec	ROUGE-1	38.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Info-HCVAE	QAE	37.18	—	Unverified
2	HCVAE	QAE	31.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Info-HCVAE	QAE	71.18	—	Unverified
2	HCVAE	QAE	69.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Info-HCVAE	QAE	35.45	—	Unverified
2	HCVAE	QAE	30.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDN	BLEU-1	36	—	Unverified