SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 664 papers

TitleStatusHype
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
Corpus-informed Retrieval Augmented Generation of Clarifying Questions—0
Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls—0
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment—0
Creativity: Generating Diverse Questions using Variational Autoencoders—0
Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Crowdsourcing Multiple Choice Science Questions—0
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering—0
Cycle-Consistency for Robust Visual Question Answering—0
Data Augmentation for Biomedical Factoid Question Answering—0
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing—0
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation—0
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model—0
Deep Bayesian Network for Visual Question Generation—0
Deep Exemplar Networks for VQA and VQG—0
Deep Learning on Graphs for Natural Language Processing—0
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes—0
DiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams—0
Difficulty Controllable Generation of Reading Comprehension Questions—0
DIFFQG: Generating Questions to Summarize Factual Changes—0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?—0
Does Synthetic Data Make Large Language Models More Efficient?—0
Domain Specific Automatic Question Generation from Text—0
DORB: Dynamically Optimizing Multiple Rewards with Bandits—0
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation—0
ECLAIR: Enhanced Clarification for Interactive Responses—0
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant—0
Elaborative Simplification as Implicit Questions Under Discussion—0
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection—0
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework—0
English Resource Semantics—0
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions—0
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation—0
Enhancing Question Generation with Commonsense Knowledge—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval—0
Evaluating for Diversity in Question Generation over Text—0
Evaluating the Fitness of Ontologies for the Task of Question Generation—0
Evaluation methodologies in Automatic Question Generation 2013-2018—0
Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks—0
Evaluation of Question Generation Needs More References—0
Event Extraction as Machine Reading Comprehension—0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading—0
Exploring Answer Information Methods for Question Generation with Transformers—0
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence—0
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All datasetsSQuAD1.1COCO Visual Question Answering (VQA) real images 1.0 open endedGrailQA-CompositionalGrailQA-IIDGrailQA-Zero-ShotFairytaleQAWeiboPollsNatural QuestionsSQuADTriviaQAVisual Question Generation

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ERNIE-GENLARGE (beam size=5)BLEU-425.41—Unverified
2BART (TextBox 2.0)BLEU-425.08—Unverified
3ProphetNet + ASGenBLEU-424.44—Unverified
4UniLMv2BLEU-424.43—Unverified
5ProphetNet + syn. mask + localnessBLEU-424.37—Unverified
6ProphetNetBLEU-423.91—Unverified
7UniLM + ASGenBLEU-423.7—Unverified
8UniLMBLEU-422.78—Unverified
9BERTSQGBLEU-422.17—Unverified
10Selector & NQG++BLEU-415.87—Unverified
#ModelMetricClaimedVerifiedStatus
1MDNBLEU-165.1—Unverified
2coco-Caption [[Karpathy and Li2014]]BLEU-162.5—Unverified
3Max(Yang,2015)BLEU-159.4—Unverified
4Sample(Yang,2015)BLEU-138.8—Unverified
#ModelMetricClaimedVerifiedStatus
1FactJointGTMETEOR36.21—Unverified
2JointGTMETEOR36.08—Unverified
3FactT5BMETEOR35.72—Unverified
4T5BMETEOR35.64—Unverified
#ModelMetricClaimedVerifiedStatus
1FactT5BBLEU46.1—Unverified
2JointGTBLEU45.95—Unverified
3T5BBLEU44.51—Unverified
4FactJointGTBLEU43.61—Unverified
#ModelMetricClaimedVerifiedStatus
1JointGTMETEOR37.69—Unverified
2FactJointGTMETEOR37.55—Unverified
3FactT5BMETEOR37.39—Unverified
4T5BMETEOR37.35—Unverified
#ModelMetricClaimedVerifiedStatus
1BART fine-tuned on FairytaleQAROUGE-L0.53—Unverified
2BART fine-tuned on NarrativeQA and FairytaleQAROUGE-L0.52—Unverified
3BART fine-tuned on NarrativeQAROUGE-L0.44—Unverified
#ModelMetricClaimedVerifiedStatus
1UniPollROUGE-149.6—Unverified
2T5ROUGE-144.46—Unverified
3Dual DecROUGE-138.24—Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE37.18—Unverified
2HCVAEQAE31.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE71.18—Unverified
2HCVAEQAE69.46—Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE35.45—Unverified
2HCVAEQAE30.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MDNBLEU-136—Unverified