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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 151–200 of 664 papers

TitleStatusHype
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
ChatPRCS: A Personalized Support System for English Reading Comprehension based on ChatGPT—0
Automatic Answerability Evaluation for Question Generation—0
Investigating Answerability of LLMs for Long-Form Question Answering—0
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation—0
KGConv, a Conversational Corpus grounded in Wikidata—0
AI empowering research: 10 ways how science can benefit from AI—0
Event Extraction as Question Generation and AnsweringCode1
MultiQG-TI: Towards Question Generation from Multi-modal SourcesCode0
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment—0
Towards Enriched Controllability for Educational Question GenerationCode0
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic AgentsCode0
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rankCode0
UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective OptimizationCode0
Weakly Supervised Visual Question Answer Generation—0
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments—0
With a Little Push, NLI Models can Robustly and Efficiently Predict FaithfulnessCode0
GenQ: Automated Question Generation to Support Caregivers While Reading Stories with Children—0
Evaluation of Question Generation Needs More References—0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction—0
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents—0
On Robustness of Finetuned Transformer-based NLP ModelsCode0
Pre-training Language Models for Comparative Reasoning—0
Towards Asking Clarification Questions for Information Seeking on Task-Oriented DialoguesCode0
Extrapolating Multilingual Understanding Models as Multilingual Generators—0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
What You See is What You Read? Improving Text-Image Alignment EvaluationCode1
Elaborative Simplification as Implicit Questions Under Discussion—0
TESS: Text-to-Text Self-Conditioned Simplex DiffusionCode1
Scalable Educational Question Generation with Pre-trained Language ModelsCode0
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance—0
SkillQG: Learning to Generate Question for Reading Comprehension Assessment—0
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question GenerationCode1
Using Implicit Feedback to Improve Question Generation—0
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
How Useful are Educational Questions Generated by Large Language Models?—0
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering—0
Automatic Generation of Multiple-Choice Questions—0
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review—0
DIFFQG: Generating Questions to Summarize Factual Changes—0
kNN-BOX: A Unified Framework for Nearest Neighbor GenerationCode1
idT5: Indonesian Version of Multilingual T5 Transformer—0
Zero-shot Clarifying Question Generation for Conversational Search—0
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora—0
Inflected Forms Are Redundant in Question Generation Models—0
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsCode3
CinPatent: Datasets for Patent Classification—0
Socratic Pretraining: Question-Driven Pretraining for Controllable SummarizationCode0
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral SituationsCode1
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension—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