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 651–664 of 664 papers

Title	Date	Tasks	Status
Evaluating Large Language Models on Controlled Generation Tasks	Oct 23, 2023	Question GenerationQuestion-Generation	CodeCode Available
Data Augmentation for Biomedical Factoid Question Answering	Apr 10, 2022	Data AugmentationInformation Retrieval	CodeCode Available
E-QGen: Educational Lecture Abstract-based Question Generation System	Apr 21, 2024	Question GenerationQuestion-Generation	CodeCode Available
Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types	Feb 19, 2018	DecoderKnowledge Graphs	CodeCode Available
A Recurrent BERT-based Model for Question Generation	Nov 1, 2019	Language ModelingLanguage Modelling	CodeCode Available
“What makes a question inquisitive?” A Study on Type-Controlled Inquisitive Question Generation	Jul 1, 2022	Question GenerationQuestion-Generation	CodeCode Available
Scalable Educational Question Generation with Pre-trained Language Models	May 13, 2023	Language ModelingLanguage Modelling	CodeCode Available
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails	Feb 14, 2024	Language ModelingLanguage Modelling	CodeCode Available
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap	Sep 23, 2021	Data AugmentationQuestion Answering	CodeCode Available
Towards End-to-End Open Conversational Machine Reading	Oct 13, 2022	Decision MakingQuestion Answering	CodeCode Available
Towards Enriched Controllability for Educational Question Generation	Jun 21, 2023	AttributeQuestion Generation	CodeCode Available
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval	Apr 24, 2022	Information RetrievalQuestion Generation	CodeCode Available
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training	Nov 1, 2020	Abstractive Text SummarizationPrediction	CodeCode Available
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation	Apr 16, 2021	Code GenerationOpen-Domain Dialog	CodeCode Available

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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