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 426–450 of 664 papers

TitleStatusHype
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers—0
An ASP-based Approach to Answering Natural Language Questions for Texts—0
An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques—0
A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions—0
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education—0
Answer-driven Deep Question Generation based on Reinforcement Learning—0
Answer-focused and Position-aware Neural Question Generation—0
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation—0
Applying Information Extraction to Storybook Question and Answer Generation—0
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—0
A review on the use of large language models as virtual tutors—0
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation—0
A Semantic Role-based Approach to Open-Domain Automatic Question Generation—0
A Sequence-to-sequence Approach for Numerical Slot-filling Dialog Systems—0
ASGen: Answer-containing Sentence Generation to Pre-Train Question Generator for Scale-up Data in Question Answering—0
A Simple and Effective Model for Multi-Hop Question Generation—0
Asking Clarification Questions in Knowledge-Based Question Answering—0
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data—0
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards—0
AskQE: Question Answering as Automatic Evaluation for Machine Translation—0
Ask Question with Double Hints: Visual Question Generation with Answer-awareness and Region-reference—0
Ask to Learn: A Study on Curiosity-driven Question Generation—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Assumption Questioning: Latent Copying and Reward Exploitation in Question Generation—0
Show:102550
← PrevPage 18 of 27Next →
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