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 151–200 of 664 papers

TitleStatusHype
Calculating Question Similarity is Enough: A New Method for KBQA Tasks—0
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards—0
Bringing personalized learning into computer-aided 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
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
Best-k Search Algorithm for Neural Text Generation—0
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data—0
BERT for Question Generation—0
What BERT Sees: Cross-Modal Transfer for Visual Question Generation—0
A Comparative Analysis on Ethical Benchmarking in Large Language Models—0
Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy—0
Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation—0
ECLAIR: Enhanced Clarification for Interactive Responses—0
Asking Clarification Questions in Knowledge-Based Question Answering—0
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence—0
Extended Answer and Uncertainty Aware Neural Question Generation—0
Extrapolating Multilingual Understanding Models as Multilingual Generators—0
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems—0
Generating Natural Questions from Images for Multimodal Assistants—0
Accelerating Real-Time Question Answering via Question Generation—0
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions—0
Event Extraction as Machine Reading Comprehension—0
ASGen: Answer-containing Sentence Generation to Pre-Train Question Generator for Scale-up Data in Question Answering—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
A Joint Model for Question Answering and Question Generation—0
Evaluation of Question Generation Needs More References—0
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling—0
Automating question generation from educational text—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
Automatic True/False Question Generation for Educational Purpose—0
A Sequence-to-sequence Approach for Numerical Slot-filling Dialog Systems—0
Automating Reading Comprehension by Generating Question and Answer Pairs—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
A Simple and Effective Model for Multi-Hop Question Generation—0
Automatic Question Generation using Relative Pronouns and Adverbs—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
AI-lead Court Debate Case Investigation—0
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant—0
Automatic Question Generation in Multimedia-Based Learning—0
A Semantic Role-based Approach to Open-Domain Automatic Question Generation—0
Evaluation methodologies in Automatic Question Generation 2013-2018—0
Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks—0
Elaborative Simplification as Implicit Questions Under Discussion—0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using 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