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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 401–450 of 664 papers

TitleStatusHype
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model—0
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains—0
SkillQG: Learning to Generate Question for Reading Comprehension Assessment—0
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation—0
Stronger Transformers for Neural Multi-Hop Question Generation—0
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation—0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization—0
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation—0
Synthetic Context Generation for Question Generation—0
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering—0
Synthetic Multimodal Question Generation—0
Temporal Question Generation from History Text—0
Textual Entailment based Question Generation—0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
The Forgettable-Watcher Model for Video Question Answering—0
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models—0
The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines?—0
TiBERT: Tibetan Pre-trained Language Model—0
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs—0
TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference—0
Topic-Based Question Generation—0
Towards Answer-unaware Conversational Question Generation—0
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues—0
Towards automatically generating Questions under Discussion to link information and discourse structure—0
Towards Automatic Generation of Questions from Long Answers—0
Towards Automatic Topical Question Generation—0
Towards Topic-to-Question Generation—0
TransientTables: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables—0
Translation of Multifaceted Data without Re-Training of Machine Translation Systems—0
TRUE: Re-evaluating Factual Consistency Evaluation—0
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering—0
Type-dependent Prompt CycleQAG : Cycle Consistency for Multi-hop Question Generation—0
Un corpus annoté pour la génération de questions et l’extraction de réponses pour l’enseignement (An annotated corpus for abstractive question generation and extractive answer for education)—0
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering—0
Underspecified Query Refinement via Natural Language Question Generation—0
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing—0
Understanding the Role of Temperature in Diverse Question Generation by GPT-4—0
Unified Question Generation with Continual Lifelong Learning—0
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model—0
Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training—0
Unsupervised FAQ Retrieval with Question Generation and BERT—0
Unsupervised Generation of Long-form Technical Questions from Textbook Metadata using Structured Templates—0
Unsupervised multiple-choice question generation for out-of-domain Q\&A fine-tuning—0
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning—0
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval—0
Using Implicit Feedback to Improve Question Generation—0
UT5: Pretraining Non autoregressive T5 with unrolled denoising—0
VBART: The Turkish LLM—0
V-Doc : Visual questions answers with Documents—0
V-Doc: Visual Questions Answers With Documents—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