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 451–500 of 664 papers

TitleStatusHype
Unsupervised Multi-hop Question Answering by Question GenerationCode1
Stronger Transformers for Neural Multi-Hop Question Generation—0
AI-lead Court Debate Case Investigation—0
Summary-Oriented Question Generation for Informational Queries—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
Multi-hop Question Generation with Graph Convolutional NetworkCode1
Mathematical Word Problem Generation from Commonsense Knowledge Graph and EquationsCode1
Contrast and Classify: Training Robust VQA ModelsCode1
Evaluating Factuality in Generation with Dependency-level EntailmentCode1
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases—0
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine ReadingCode1
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous SpaceCode0
Inquisitive Question Generation for High Level Text ComprehensionCode1
基于Graph Transformer的知识库问题生成(Question Generation from Knowledge Base with Graph Transformer)—0
Answer-Driven Visual State Estimator for Goal-Oriented Visual DialogueCode0
Sequence-to-Sequence Learning for Indonesian Automatic Question GeneratorCode1
Can questions summarize a corpus? Using question generation for characterizing COVID-19 researchCode1
Asking Complex Questions with Multi-hop Answer-focused ReasoningCode0
Text Generation by Learning from DemonstrationsCode1
Accelerating Real-Time Question Answering via Question Generation—0
Automatic Follow-up Question Generation for Asynchronous Interviews—0
A Dataset and Baselines for Visual Question Answering on ArtCode1
Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions—0
Evaluating for Diversity in Question Generation over Text—0
Investigating Pretrained Language Models for Graph-to-Text GenerationCode1
A Sequence-to-sequence Approach for Numerical Slot-filling Dialog Systems—0
Visual Question Generation from Radiology ImagesCode1
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
How to Ask Good Questions? Try to Leverage Paraphrases—0
Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction—0
Unsupervised FAQ Retrieval with Question Generation and BERT—0
On the Importance of Diversity in Question Generation for QA—0
ClarQ: A large-scale and diverse dataset for Clarification Question GenerationCode1
ColdGANs: Taming Language GANs with Cautious Sampling Strategies—0
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEsCode1
Knowledge Graph Simple Question Answering for Unseen DomainsCode1
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation—0
C3VQG: Category Consistent Cyclic Visual Question GenerationCode1
Simplifying Paragraph-level Question Generation via Transformer Language ModelsCode2
A Consolidated Dataset for Knowledge-based Question Generation using Predicate Mapping of Linked Data—0
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking ConversationsCode1
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation—0
Semantic Graphs for Generating Deep QuestionsCode1
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question AnsweringCode1
QURIOUS: Question Generation Pretraining for Text Generation—0
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation—0
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural NetworksCode1
Towards Automatic Generation of Questions from Long Answers—0
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing—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