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

Showing 1–25 of 664 papers

TitleStatusHype
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction DataCode7
TRUE: Re-evaluating Factual Consistency EvaluationCode4
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsCode3
All You May Need for VQA are Image CaptionsCode3
Synthetic QA Corpora Generation with Roundtrip ConsistencyCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Simplifying Paragraph-level Question Generation via Transformer Language ModelsCode2
Learning Dense Representations of Phrases at ScaleCode2
Continuous Language Generative FlowCode1
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringCode1
Collaborative and AI-aided Exam Question Generation using Wikidata in EducationCode1
CoHS-CQG: Context and History Selection for Conversational Question GenerationCode1
A Taxonomy of Empathetic Questions in Social DialogsCode1
A Feasibility Study of Answer-Agnostic Question Generation for EducationCode1
Contrast and Classify: Training Robust VQA ModelsCode1
Can questions summarize a corpus? Using question generation for characterizing COVID-19 researchCode1
A Dataset and Baselines for Visual Question Answering on ArtCode1
Bench4KE: Benchmarking Automated Competency Question GenerationCode1
ChainCQG: Flow-Aware Conversational Question GenerationCode1
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale PretrainingCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
C3VQG: Category Consistent Cyclic Visual Question GenerationCode1
Ask what's missing and what's useful: Improving Clarification Question Generation using Global KnowledgeCode1
Automated question generation and question answering from Turkish textsCode1
Automatically Generating Cause-and-Effect Questions from PassagesCode1
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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