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
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationCode1
TruthfulQA: Measuring How Models Mimic Human FalsehoodsCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
Visual Dialogue State Tracking for Question GenerationCode1
C3VQG: Category Consistent Cyclic Visual Question GenerationCode1
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesCode1
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEsCode1
Context-NER : Contextual Phrase Generation at ScaleCode1
Joint Generator-Ranker Learning for Natural Language GenerationCode1
Can questions summarize a corpus? Using question generation for characterizing COVID-19 researchCode1
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document RankingCode1
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsCode1
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge GraphsCode1
ChainCQG: Flow-Aware Conversational Question GenerationCode1
Diverse and Specific Clarification Question Generation with KeywordsCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
Contrast and Classify: Training Robust VQA ModelsCode1
A Feasibility Study of Answer-Agnostic Question Generation for EducationCode1
ClarQ: A large-scale and diverse dataset for Clarification Question GenerationCode1
TESS: Text-to-Text Self-Conditioned Simplex DiffusionCode1
Ask what's missing and what's useful: Improving Clarification Question Generation using Global KnowledgeCode1
CoHS-CQG: Context and History Selection for Conversational Question GenerationCode1
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
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling—0
An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—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
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers—0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—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
DIFFQG: Generating Questions to Summarize Factual Changes—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—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
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes—0
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
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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