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

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Showing 101–150 of 664 papers

TitleStatusHype
Transformer Models for Text Coherence AssessmentCode1
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic EvaluationCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language ModelsCode1
C3VQG: Category Consistent Cyclic Visual Question GenerationCode1
Visual Question Generation from Radiology ImagesCode1
EduQG: A Multi-format Multiple Choice Dataset for the Educational DomainCode1
Which questions should I answer? Salience Prediction of Inquisitive QuestionsCode1
Investigating Pretrained Language Models for Graph-to-Text GenerationCode1
Can questions summarize a corpus? Using question generation for characterizing COVID-19 researchCode1
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge GraphsCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
Multi-hop Question Generation with Graph Convolutional NetworkCode1
ChainCQG: Flow-Aware Conversational Question GenerationCode1
Contrastive Learning with Adversarial Perturbations for Conditional Text GenerationCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
Continuous Language Generative FlowCode1
Cross-Lingual Natural Language Generation via Pre-TrainingCode1
A Feasibility Study of Answer-Agnostic Question Generation for EducationCode1
ClarQ: A large-scale and diverse dataset for Clarification Question GenerationCode1
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringCode1
Ask what's missing and what's useful: Improving Clarification Question Generation using Global KnowledgeCode1
TESS: Text-to-Text Self-Conditioned Simplex DiffusionCode1
A Survey of Approaches to Automatic Question Generation:from 2019 to Early 2021—0
A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions—0
ColdGANs: Taming Language GANs with Cautious Sampling Strategies—0
Assumption Questioning: Latent Copying and Reward Exploitation in Question Generation—0
An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Choose Your Own Adventure: Interactive E-Books to Improve Word Knowledge and Comprehension Skills—0
ChatPRCS: A Personalized Support System for English Reading Comprehension based on ChatGPT—0
An ASP-based Approach to Answering Natural Language Questions for Texts—0
Chat-based Person Retrieval via Dialogue-Refined Cross-Modal Alignment—0
Ask to Learn: A Study on Curiosity-driven Question Generation—0
A Consolidated Dataset for Knowledge-based Question Generation using Predicate Mapping of Linked Data—0
DIFFQG: Generating Questions to Summarize Factual Changes—0
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers—0
DiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams—0
A Feasibility Study of Answer-Unaware Question Generation for Education—0
Ask Question with Double Hints: Visual Question Generation with Answer-awareness and Region-reference—0
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes—0
Difficulty Controllable Generation of Reading Comprehension Questions—0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap—0
AskQE: Question Answering as Automatic Evaluation for Machine Translation—0
Calibrating Sequence likelihood Improves Conditional Language Generation—0
Adversarial and Safely Scaled Question Generation—0
Deep Bayesian Network for Visual Question Generation—0
Calculating Question Similarity is Enough: A New Method for KBQA Tasks—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