mlsanityData to 7 Oct 2026

E-QGen: Educational Lecture Abstract-based Question Generation System

arXiv 2404.13547 ↗First posted 21 Apr 2024cs.CLcited by 3

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Abstract (arXiv)

To optimize the preparation process for educators in academic lectures and associated question-and-answer sessions, this paper presents E-QGen, a lecture abstract-based question generation system. Given a lecture abstract, E-QGen generates potential student inquiries. The questions suggested by our system are expected to not only facilitate teachers in preparing answers in advance but also enable them to supply additional resources when necessary.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 12 of its 15 references that are in the map. First posted on arXiv 21 Apr 2024.

Builds on

12 of 15 references.

References · 12

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
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  5. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  6. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  7. 2023PaLM 2 Technical Reportcited by 1,154
  8. 2017Neural Question Generation from Text: A Preliminary Studycited by 78
  9. 2020Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpuscited by 40
  10. 2017Machine Comprehension by Text-to-Text Neural Question Generationcited by 32
  11. 2020Inquisitive Question Generation for High Level Text Comprehensioncited by 31
  12. 2023SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcriptscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Modelscited by 4
  2. 2025YouLeQD: Decoding the Cognitive Complexity of Questions and Engagement in Online Educational Videos from Learners' Perspectivescited by 1
  3. 2026Beyond Factual QA: Mentorship-Oriented Question Answering over Long-Form Multilingual Contentcited by 1