Leaf: Multiple-Choice Question Generation
Not on the map. Why?
Abstract (arXiv)
Testing with quiz questions has proven to be an effective way to assess and improve the educational process. However, manually creating quizzes is tedious and time-consuming. To address this challenge, we present Leaf, a system for generating multiple-choice questions from factual text. In addition to being very well suited for the classroom, Leaf could also be used in an industrial setting, e.g., to facilitate onboarding and knowledge sharing, or as a component of chatbots, question answering systems, or Massive Open Online Courses (MOOCs). The code and the demo are available on https://github.com/KristiyanVachev/Leaf-Question-Generation.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 31 of its 48 references that are in the map. First posted on arXiv 22 Jan 2022.
Builds on
31 of 48 references.
References · 31
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
- 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,710
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
- 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,772
- 2018Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answeringcited by 2,114
- 2017RACE: Large-scale ReAding Comprehension Dataset From Examinationscited by 851
- 2020XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalizationcited by 738
- 2019Unified Language Model Pre-training for Natural Language Understanding and Generationcited by 668
- 2020TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languagescited by 486
19 more
- 2019MLQA: Evaluating Cross-lingual Extractive Question Answeringcited by 339
- 2016NewsQA: A Machine Comprehension Datasetcited by 330
- 2020ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-trainingcited by 221
- 2020UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Trainingcited by 204
- 2017Learning to Ask: Neural Question Generation for Reading Comprehensioncited by 186
- 2017Neural Question Generation from Text: A Preliminary Studycited by 78
- 2020EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answeringcited by 60
- 2018QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationshipscited by 46
- 2020ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generationcited by 39
- 2019From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Projectcited by 33
- 2018Generating Distractors for Reading Comprehension Questions from Real Examinationscited by 24
- 2020A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategiescited by 22
- 2015sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddingscited by 20
- 2019Generating Question-Answer Hierarchiescited by 20
- 2019BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novelscited by 17
- 2020Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filteringcited by 17
- 2019Beyond English-Only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgariancited by 10
- 2021AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documentscited by 4
- 2021Generating Answer Candidates for Quizzes and Answer-Aware Question Generatorscited by 3
Built on by
Citing papers per year: 2022: 2; 2023: 2; 2024: 3; 2025: 0; 2026: 2.
9 papers.
- 2024Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluationcited by 25
- 2023Scalable Educational Question Generation with Pre-trained Language Modelscited by 19
- 2024A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPTcited by 19
- 2022Evaluating the Knowledge Dependency of Questionscited by 9
- 2026KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibrationcited by 4
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3
- 2022Pre-Training With Scientific Text Improves Educational Question Generationcited by 2
- 2023UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimizationcited by 1
- 2026Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Modelscited by 0
- 2026Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models12 Apr 2026
- 2026KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration23 Feb 2026
- 2024Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation2 Feb 2024
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends15 Jan 2024
- 2024A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT13 Jan 2024
- 2023UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization12 Jun 2023
- 2023Scalable Educational Question Generation with Pre-trained Language Models13 May 2023
- 2022Pre-Training With Scientific Text Improves Educational Question Generation7 Dec 2022
- 2022Evaluating the Knowledge Dependency of Questions21 Nov 2022