---
title: "Who cites It is AI's Turn to Ask Humans a Question…"
description: "The papers of the Elamur Research library that cite «It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story…"
canonical: "https://research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/cited-by/"
---
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# Who cites «It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books»

32 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/)

1. [Automated Extraction of Answer Candidates for Question Generation](https://aclanthology.org/2026.lrec-1.870/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Construction and Analysis of Japanese Parent-Child Dialogic Reading Corpus for Conversational Agents](https://aclanthology.org/2026.lrec-1.213/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [DiFRa: A Unified Framework for Harmonizing Semantic Diversity and Factual Consistency in Question-Answer Generation](https://aclanthology.org/2026.findings-acl.1493/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
4. [LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks](https://aclanthology.org/2026.acl-srw.77/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
5. [ReproHum \#0031–01: Reproducing a Human Readability Evaluation for Question–Answer Generation Systems](https://aclanthology.org/2026.gem-main.88/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
6. [ReproNLP 2026: A Third Replication of the Human Evaluation of a QAG System for Children”s Storybooks](https://aclanthology.org/2026.gem-main.85/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
7. [The Shared Task on Reproducibility of Evaluations in NLP (ReproNLP) 2026: Overview and Results](https://aclanthology.org/2026.gem-main.83/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
8. [Chatbot To Help Patients Understand Their Health](https://aclanthology.org/2025.findings-emnlp.351/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
9. [The 2025 ReproNLP Shared Task on Reproducibility of Evaluations in NLP: Overview and Results](https://aclanthology.org/2025.gem-1.78/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
10. [What Would You Ask When You First Saw $a^2+b^2=c^2$? Evaluating LLM on Curiosity-Driven Question Generation](https://aclanthology.org/2025.ijcnlp-long.126/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
11. [Automatic Crossword Clues Extraction for Language Learning](https://aclanthology.org/2024.bea-1.31/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
12. [Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation](https://aclanthology.org/2024.acl-long.432/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation](https://aclanthology.org/2024.lrec-main.601/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
14. [Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation](https://aclanthology.org/2024.findings-eacl.145/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
15. [SGCM: Salience-Guided Context Modeling for Question Generation](https://aclanthology.org/2024.lrec-main.1285/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
16. [Select High-quality Synthetic QA Pairs to Augment Training Data in MRC under the Reward Guidance of Generative Language Models](https://aclanthology.org/2024.lrec-main.1267/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
17. [Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales](https://aclanthology.org/2023.acl-long.359/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations](https://aclanthology.org/2023.acl-long.821/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding](https://aclanthology.org/2023.findings-emnlp.677/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
20. [Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture](https://aclanthology.org/2023.findings-emnlp.778/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
21. [Closed-book Question Generation via Contrastive Learning](https://aclanthology.org/2023.eacl-main.230/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
22. [Comparing Neural Question Generation Architectures for Reading Comprehension](https://aclanthology.org/2023.bea-1.47/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
23. [Diversify Question Generation with Retrieval-Augmented Style Transfer](https://aclanthology.org/2023.emnlp-main.104/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
24. [Diversity Enhanced Narrative Question Generation for Storybooks](https://aclanthology.org/2023.emnlp-main.31/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
25. [Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank](https://aclanthology.org/2023.bea-1.22/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
26. [PaniniQA: Enhancing Patient Education Through Interactive Question Answering](https://aclanthology.org/2023.tacl-1.86/) *— 2023 · Transactions of the Association for Computational Linguistics*
27. [QAmeleon: Multilingual QA with Only 5 Examples](https://aclanthology.org/2023.tacl-1.98/) *— 2023 · Transactions of the Association for Computational Linguistics*
28. [SkillQG: Learning to Generate Question for Reading Comprehension Assessment](https://aclanthology.org/2023.findings-acl.870/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
29. [Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks](https://aclanthology.org/2023.findings-acl.380/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
30. [`Don”t Get Too Technical with Me”: A Discourse Structure-Based Framework for Automatic Science Journalism](https://aclanthology.org/2023.emnlp-main.76/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
31. [Applying Information Extraction to Storybook Question and Answer Generation](https://aclanthology.org/2022.rocling-1.36/) *— 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)*
32. [Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*