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 601625 of 664 papers

TitleStatusHype
Inflected Forms Are Redundant in Question Generation Models0
Information Maximizing Visual Question Generation0
Infusing NLU into Automatic Question Generation0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction0
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction0
Investigating Answerability of LLMs for Long-Form Question Answering0
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter0
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs0
iVQA: Inverse Visual Question Answering0
JEFF - Just Another EFFicient Reading Comprehension Test Generation0
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 Generation0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder0
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication0
KGConv, a Conversational Corpus grounded in Wikidata0
KHANQ: A Dataset for Generating Deep Questions in Education0
Knowledge Based Machine Reading Comprehension0
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning0
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases0
K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition0
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering0
Language Muse: Automated Linguistic Activity Generation for English Language Learners0
Latent Reasoning for Low-Resource Question Generation0
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ERNIE-GENLARGE (beam size=5)BLEU-425.41Unverified
2BART (TextBox 2.0)BLEU-425.08Unverified
3ProphetNet + ASGenBLEU-424.44Unverified
4UniLMv2BLEU-424.43Unverified
5ProphetNet + syn. mask + localnessBLEU-424.37Unverified
6ProphetNetBLEU-423.91Unverified
7UniLM + ASGenBLEU-423.7Unverified
8UniLMBLEU-422.78Unverified
9BERTSQGBLEU-422.17Unverified
10Selector & NQG++BLEU-415.87Unverified
#ModelMetricClaimedVerifiedStatus
1MDNBLEU-165.1Unverified
2coco-Caption [[Karpathy and Li2014]]BLEU-162.5Unverified
3Max(Yang,2015)BLEU-159.4Unverified
4Sample(Yang,2015)BLEU-138.8Unverified
#ModelMetricClaimedVerifiedStatus
1FactJointGTMETEOR36.21Unverified
2JointGTMETEOR36.08Unverified
3FactT5BMETEOR35.72Unverified
4T5BMETEOR35.64Unverified
#ModelMetricClaimedVerifiedStatus
1FactT5BBLEU46.1Unverified
2JointGTBLEU45.95Unverified
3T5BBLEU44.51Unverified
4FactJointGTBLEU43.61Unverified
#ModelMetricClaimedVerifiedStatus
1JointGTMETEOR37.69Unverified
2FactJointGTMETEOR37.55Unverified
3FactT5BMETEOR37.39Unverified
4T5BMETEOR37.35Unverified
#ModelMetricClaimedVerifiedStatus
1BART fine-tuned on FairytaleQAROUGE-L0.53Unverified
2BART fine-tuned on NarrativeQA and FairytaleQAROUGE-L0.52Unverified
3BART fine-tuned on NarrativeQAROUGE-L0.44Unverified
#ModelMetricClaimedVerifiedStatus
1UniPollROUGE-149.6Unverified
2T5ROUGE-144.46Unverified
3Dual DecROUGE-138.24Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE37.18Unverified
2HCVAEQAE31.45Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE71.18Unverified
2HCVAEQAE69.46Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE35.45Unverified
2HCVAEQAE30.2Unverified
#ModelMetricClaimedVerifiedStatus
1MDNBLEU-136Unverified