mlsanityData to 7 Oct 2026

Recent Advances in Neural Question Generation

arXiv 1905.08949 ↗First posted 22 May 2019cs.CLcited by 42

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Abstract (arXiv)

Emerging research in Neural Question Generation (NQG) has started to integrate a larger variety of inputs, and generating questions requiring higher levels of cognition. These trends point to NQG as a bellwether for NLP, about how human intelligence embodies the skills of curiosity and integration. We present a comprehensive survey of neural question generation, examining the corpora, methodologies, and evaluation methods. From this, we elaborate on what we see as emerging on NQG's trend: in terms of the learning paradigms, input modalities, and cognitive levels considered by NQG. We end by pointing out the potential directions ahead.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 May 2019.

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Citing papers per year: 2021: 11; 2022: 8; 2023: 11; 2024: 7; 2025: 5.

42 papers.

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  1. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
  2. 2021Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewritingcited by 30
  3. 2023On the application of Large Language Models for language teaching and assessment technologycited by 26
  4. 2024Enhancing Critical Thinking in Education by means of a Socratic Chatbotcited by 21
  5. 2022Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generationcited by 17
  6. 2021Guiding Visual Question Generationcited by 14
  7. 2023FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generationcited by 12
  8. 2022EduQG: A Multi-format Multiple Choice Dataset for the Educational Domaincited by 11
  9. 2024ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pagescited by 10
  10. 2022QAScore -- An Unsupervised Unreferenced Metric for the Question Generation Evaluationcited by 9
  11. 2023Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sourcescited by 9
  12. 2022CoHS-CQG: Context and History Selection for Conversational Question Generationcited by 8
30 more
  1. 2025What Has Been Lost with Synthetic Evaluation?cited by 8
  2. 2021OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approachcited by 7
  3. 2021I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selectioncited by 7
  4. 2021Towards Standard Criteria for human evaluation of Chatbots: A Surveycited by 6
  5. 2022NewsPod: Automatic and Interactive News Podcastscited by 6
  6. 2023Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generationcited by 6
  7. 2023MultiQG-TI: Towards Question Generation from Multi-modal Sourcescited by 6
  8. 2024Navigating the Landscape of Hint Generation Research: From the Past to the Futurecited by 6
  9. 2021MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Pricecited by 5
  10. 2022Evaluation of Question Answering Systems: Complexity of judging a natural languagecited by 5
  11. 2023Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Reviewcited by 5
  12. 2024A Survey on Neural Question Generation: Methods, Applications, and Prospectscited by 5
  13. 2023The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Modelscited by 3
  14. 2022Unified Question Generation with Continual Lifelong Learningcited by 2
  15. 2023Are Large Language Models Fit For Guided Reading?cited by 2
  16. 2024Backtracing: Retrieving the Cause of the Querycited by 2
  17. 2024ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videoscited by 2
  18. 2025From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLMcited by 2
  19. 2021MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Trainingcited by 1
  20. 2021Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tablescited by 1
  21. 2021PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguationcited by 1
  22. 2023Visual Question Generation in Bengalicited by 1
  23. 2023Prompt-Engineering and Transformer-based Question Generation and Evaluationcited by 1
  24. 2023Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Researchcited by 1
  25. 2025Semantic Bridge: Universal Multi-Hop Question Generation via AMR-Driven Graph Synthesiscited by 1
  26. 2021Calculating Question Similarity is Enough: A New Method for KBQA Taskscited by 0
  27. 2022Adversarial and Safely Scaled Question Generationcited by 0
  28. 2024DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answeringcited by 0
  29. 2025Can LLMs Ask Good Questions?cited by 0
  30. 2025VideoChain: A Transformer-Based Framework for Multi-hop Video Question Generationcited by 0