mlsanityData to 7 Oct 2026

Leaf: Multiple-Choice Question Generation

arXiv 2201.09012 ↗First posted 22 Jan 2022cs.CL cs.AIcited by 9

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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

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19 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 3; 2025: 0; 2026: 2.

9 papers.