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

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Showing 501–550 of 664 papers

TitleStatusHype
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases—0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation—0
Mind the Gap: Learning to Choose Gaps for Question Generation—0
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation—0
MixQG: Neural Question Generation with Mixed Answer Types—0
MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants—0
MTG: A Benchmarking Suite for Multilingual Text Generation—0
Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity—0
Multi-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024—0
Multilingual Open QA on the MIA Shared Task—0
Multimodal Differential Network for Visual Question Generation—0
Multiple-Choice Question Generation: Towards an Automated Assessment Framework—0
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights—0
Multiple Choice Question Generation Utilizing An Ontology—0
Multi-Task Learning with Language Modeling for Question Generation—0
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features—0
Neural Models for Key Phrase Detection and Question Generation—0
Neural Models for Key Phrase Extraction and Question Generation—0
Neural Question Generation using Interrogative Phrases—0
Neural Self Talk: Image Understanding via Continuous Questioning and Answering—0
NewsQs: Multi-Source Question Generation for the Inquiring Mind—0
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach—0
Online shopping behavior study based on multi-granularity opinion mining: China vs. America—0
On the Importance of Diversity in Question Generation for QA—0
On Training Instance Selection for Few-Shot Neural Text Generation—0
Open-domain clarification question generation without question examples—0
P^3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training—0
Paired Examples as Indirect Supervision in Latent Decision Models—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
ParaQG: A System for Generating Questions and Answers from Paragraphs—0
KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM EvaluationCode0
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQLCode0
Asking It All: Generating Contextualized Questions for any Semantic RoleCode0
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational VideosCode0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad MechanismCode0
Automatic Opinion Question GenerationCode0
Engage the Public: Poll Question Generation for Social Media PostsCode0
Cross-Lingual Training for Automatic Question GenerationCode0
Iterative GNN-based Decoder for Question GenerationCode0
End-to-End Video Question-Answer Generation with Generator-Pretester NetworkCode0
Improving Socratic Question Generation using Data Augmentation and Preference OptimizationCode0
Context Selection and Rewriting for Video-based Educational Question GenerationCode0
CONSISTENT: Open-Ended Question Generation From News ArticlesCode0
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rankCode0
Learning Natural Language Generation with Truncated Reinforcement LearningCode0
Sequential Copying NetworksCode0
Efficient Medical Question Answering with Knowledge-Augmented Question GenerationCode0
Improving Non-autoregressive Generation with Mixup TrainingCode0
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question GenerationCode0
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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