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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 101–150 of 664 papers

TitleStatusHype
VBART: The Turkish LLM—0
Improving Socratic Question Generation using Data Augmentation and Preference OptimizationCode0
NewsQs: Multi-Source Question Generation for the Inquiring Mind—0
A Survey on Neural Question Generation: Methods, Applications, and Prospects—0
Qsnail: A Questionnaire Dataset for Sequential Question GenerationCode1
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy—0
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance—0
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree PlanningCode0
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and GuardrailsCode0
Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy—0
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation—0
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World KnowledgeCode1
Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation—0
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes—0
From text to multimodal: a survey of adversarial example generation in question answering systems—0
DBCopilot: Natural Language Querying over Massive Databases via Schema RoutingCode1
Exploring Answer Information Methods for Question Generation with Transformers—0
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language ModelsCode0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks—0
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models—0
UT5: Pretraining Non autoregressive T5 with unrolled denoising—0
A Lightweight Method to Generate Unanswerable Questions in EnglishCode0
Prompt-Engineering and Transformer-based Question Generation and Evaluation—0
PACuna: Automated Fine-Tuning of Language Models for Particle AcceleratorsCode0
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation—0
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text GenerationCode0
Diversity Enhanced Narrative Question Generation for StorybooksCode0
QUDEVAL: The Evaluation of Questions Under Discussion Discourse ParsingCode0
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Location-Aware Visual Question Generation with Lightweight ModelsCode0
Evaluating Large Language Models on Controlled Generation TasksCode0
Text Fact TransferCode0
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications KnowledgeCode1
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
Ask To The Point: Open-Domain Entity-Centric Question GenerationCode0
Improving Question Generation with Multi-level Content PlanningCode1
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document RankingCode1
Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading—0
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model—0
Alexpaca: Learning Factual Clarification Question Generation Without Examples—0
Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation—0
Visual Question Generation in BengaliCode0
Does Synthetic Data Make Large Language Models More Efficient?—0
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model AttributionCode0
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question AnsweringCode1
A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions—0
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language ModelsCode1
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering SystemsCode1
Automating question generation from educational text—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