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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 301–325 of 664 papers

TitleStatusHype
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval—0
Bringing personalized learning into computer-aided question generation—0
Enhancing Question Generation with Commonsense Knowledge—0
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation—0
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension—0
All You May Need for VQA are Image Captions—0
Adversarial and Safely Scaled Question Generation—0
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions—0
English Resource Semantics—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
Best-k Search Algorithm for Neural Text Generation—0
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework—0
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection—0
BERT for Question Generation—0
Elaborative Simplification as Implicit Questions Under Discussion—0
What BERT Sees: Cross-Modal Transfer for Visual Question Generation—0
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data—0
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant—0
ECLAIR: Enhanced Clarification for Interactive Responses—0
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation—0
A Well-Composed Text is Half Done! Semantic Composition Sampling for Diverse Conditional Generation—0
Asking Clarification Questions in Knowledge-Based Question Answering—0
Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation—0
A Comparative Analysis on Ethical Benchmarking in Large Language Models—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