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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 664 papers

TitleStatusHype
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection—0
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework—0
Best-k Search Algorithm for Neural Text Generation—0
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data—0
English Resource Semantics—0
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
Enhancing Question Generation with Commonsense Knowledge—0
Bringing personalized learning into computer-aided question generation—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval—0
Automatic True/False Question Generation for Educational Purpose—0
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards—0
A Sequence-to-sequence Approach for Numerical Slot-filling Dialog Systems—0
Automatic Question Generation using Relative Pronouns and Adverbs—0
AI-lead Court Debate Case Investigation—0
Automatic Question Generation in Multimedia-Based Learning—0
A Semantic Role-based Approach to Open-Domain Automatic Question Generation—0
Adversarial and Safely Scaled Question Generation—0
Evaluating the Fitness of Ontologies for the Task of Question Generation—0
Evaluation methodologies in Automatic Question Generation 2013-2018—0
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models—0
Evaluation of Question Generation Needs More References—0
GTM: A Generative Triple-Wise Model for Conversational Question Generation—0
Hindi Question Generation Using Dependency Structures—0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
A Feasibility Study of Answer-Unaware Question Generation for Education—0
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers—0
Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading—0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence—0
DIFFQG: Generating Questions to Summarize Factual Changes—0
Automatic question generation for propositional logical equivalences—0
Difficulty Controllable Generation of Reading Comprehension Questions—0
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
Choose Your Own Adventure: Interactive E-Books to Improve Word Knowledge and Comprehension Skills—0
An ASP-based Approach to Answering Natural Language Questions for Texts—0
DiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams—0
Automatic question generation based on sentence structure analysis using machine learning approach—0
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation—0
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets—0
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes—0
Follow-up Question Generation For Enhanced Patient-Provider Conversations—0
A review on the use of large language models as virtual tutors—0
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators—0
AI empowering research: 10 ways how science can benefit from AI—0
Deep Learning on Graphs for Natural Language Processing—0
Generating Followup Questions for Interpretable Multi-hop Question Answering—0
Deep Exemplar Networks for VQA and VQG—0
Show:102550
← PrevPage 5 of 14Next →
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