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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 551–600 of 664 papers

TitleStatusHype
Extended Answer and Uncertainty Aware Neural Question Generation—0
Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy—0
Extrapolating Multilingual Understanding Models as Multilingual Generators—0
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension—0
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems—0
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets—0
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation—0
Follow-up Question Generation For Enhanced Patient-Provider Conversations—0
From text to multimodal: a survey of adversarial example generation in question answering systems—0
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators—0
Generating Followup Questions for Interpretable Multi-hop Question Answering—0
Generating Highly Relevant Questions—0
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model—0
Generating Natural Questions from Images for Multimodal Assistants—0
Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts—0
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss—0
Generating Questions from Wikidata Triples—0
Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction—0
Génération de question à partir d’analyse sémantique pour l’adaptation non supervisée de modèles de compréhension de documents (Question generation from semantic analysis for unsupervised adaptation of document understanding models)—0
Generative AI and Its Impact on Personalized Intelligent Tutoring Systems—0
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers—0
Generative Language Models for Paragraph-Level Question Generation—0
GenQ: Automated Question Generation to Support Caregivers While Reading Stories with Children—0
Goal-Oriented Visual Question Generation via Intermediate Rewards—0
Good Automatic Authentication Question Generation—0
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models—0
GTM: A Generative Triple-Wise Model for Conversational Question Generation—0
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting—0
Guiding Visual Question Generation—0
Hindi Question Generation Using Dependency Structures—0
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?—0
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes—0
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation—0
How to Ask Good Questions? Try to Leverage Paraphrases—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—0
How Useful are Educational Questions Generated by Large Language Models?—0
How Well Do You Know Your Audience? Toward Socially-aware Question Generation—0
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy—0
Identifying Where to Focus in Reading Comprehension for Neural Question Generation—0
I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection—0
idT5: Indonesian Version of Multilingual T5 Transformer—0
Improving Biomedical Information Retrieval with Neural Retrievers—0
Improving Controllability of Educational Question Generation by Keyword Provision—0
Improving Neural Question Generation using World Knowledge—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring—0
Improving Question Generation With to the Point Context—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
Incremental temporal summarization in multi-party meetings—0
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—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