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 601–650 of 664 papers

TitleStatusHype
Inflected Forms Are Redundant in Question Generation Models—0
Information Maximizing Visual Question Generation—0
Infusing NLU into Automatic Question Generation—0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction—0
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction—0
Investigating Answerability of LLMs for Long-Form Question Answering—0
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter—0
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs—0
iVQA: Inverse Visual Question Answering—0
JEFF - Just Another EFFicient Reading Comprehension Test Generation—0
基于迭代信息传递和滑动窗口注意力的问题生成模型研究(Question Generation Model Based on Iterative Message Passing and Sliding Windows Hierarchical Attention)—0
基于Graph Transformer的知识库问题生成(Question Generation from Knowledge Base with Graph Transformer)—0
KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation—0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder—0
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication—0
KGConv, a Conversational Corpus grounded in Wikidata—0
KHANQ: A Dataset for Generating Deep Questions in Education—0
Knowledge Based Machine Reading Comprehension—0
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning—0
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases—0
K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition—0
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering—0
Language Muse: Automated Linguistic Activity Generation for English Language Learners—0
Latent Reasoning for Low-Resource Question Generation—0
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations—0
Learning by Asking Questions for Knowledge-based Novel Object Recognition—0
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds—0
Learning to Answer Multilingual and Code-Mixed Questions—0
Learning to Ask Appropriate Questions in Conversational Recommendation—0
Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction—0
Learning to Ask Unanswerable Questions for Machine Reading Comprehension—0
Learning to Automatically Generate Fill-In-The-Blank Quizzes—0
Learning to Collaborate for Question Answering and Asking—0
Learning to Disambiguate by Asking Discriminative Questions—0
Learning to Diversify for Product Question Generation—0
CinPatent: Datasets for Patent Classification—0
Learning to Generate Questions by Learning What not to Generate—0
Learning to Generate Questions by Recovering Answer-containing Sentences—0
Learning to Generate Questions with Adaptive Copying Neural Networks—0
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation—0
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation—0
Let's Talk! Striking Up Conversations via Conversational Visual Question Generation—0
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains—0
Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects—0
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases—0
Linguistic Considerations in Automatic Question Generation—0
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation—0
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images—0
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration—0
Show:102550
← PrevPage 13 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