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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

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Showing 51–100 of 664 papers

TitleStatusHype
A Comparative Analysis on Ethical Benchmarking in Large Language Models—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
A General Framework for Producing Interpretable Semantic Text EmbeddingsCode0
PCQPR: Proactive Conversational Question Planning with Reflection—0
Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls—0
Corpus-informed Retrieval Augmented Generation of Clarifying Questions—0
DisGeM: Distractor Generation for Multiple Choice Questions with Span MaskingCode0
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval—0
Contrastive Learning for Knowledge-Based Question Generation in Large Language Models—0
The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines?—0
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesCode1
Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity—0
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question GenerationCode0
Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and EvaluationCode0
QuestGen: Effectiveness of Question Generation Methods for Fact-Checking ApplicationsCode0
Comparison of Large Language Models for Generating Contextually Relevant QuestionsCode0
Automated Question Generation on Tabular Data for Conversational Data Exploration—0
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-referenceCode0
Synthetic Multimodal Question Generation—0
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions—0
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?—0
Synthetic Context Generation for Question Generation—0
QOG:Question and Options Generation based on Language Model—0
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques—0
QGEval: Benchmarking Multi-dimensional Evaluation for Question GenerationCode1
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers—0
FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced LanguagesCode0
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation—0
Efficient Medical Question Answering with Knowledge-Augmented Question GenerationCode0
A review on the use of large language models as virtual tutors—0
Towards Better Question Generation in QA-based Event ExtractionCode1
Auto FAQ Generation—0
Automatic question generation for propositional logical equivalences—0
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration—0
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond—0
Translation of Multifaceted Data without Re-Training of Machine Translation Systems—0
E-QGen: Educational Lecture Abstract-based Question Generation SystemCode0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models—0
CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language ModelsCode0
Consistency Training by Synthetic Question Generation for Conversational Question AnsweringCode0
Which questions should I answer? Salience Prediction of Inquisitive QuestionsCode1
Understanding the Role of Temperature in Diverse Question Generation by GPT-4—0
Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation—0
Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction—0
On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative ComprehensionCode0
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question GenerationCode0
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question LabelingCode0
Reference-based Metrics Disprove Themselves in Question Generation—0
PhD: A ChatGPT-Prompted Visual hallucination Evaluation DatasetCode1
Choose Your Own Adventure: Interactive E-Books to Improve Word Knowledge and Comprehension Skills—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