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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.mova.elamur.ai/free/en/docs/papers/yao-2022-it-is-ai-s-turn/)

1. [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*
2. [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*
3. [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)*
4. [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)*
5. [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)*
6. [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)*
7. [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)*
8. [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)*
9. [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*
10. [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)*
11. [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)*
12. [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*
13. [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*
14. [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*
15. [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)*
16. [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*
17. [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)*
18. [PaniniQA: Enhancing Patient Education Through Interactive Question Answering](https://aclanthology.org/2023.tacl-1.86/) *— 2023 · Transactions of the Association for Computational Linguistics*
19. [QAmeleon: Multilingual QA with Only 5 Examples](https://aclanthology.org/2023.tacl-1.98/) *— 2023 · Transactions of the Association for Computational Linguistics*
20. [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*
21. [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*
22. [`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*
23. [Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension](https://md.mova.elamur.ai/free/en/docs/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)*
24. berruti-2024-automatic-crossword-clues-extraction-language
25. ding-2024-sgcm-salience-guided-context-modeling
26. hurlimann-2026-reprohum-0031-01-reproducing-human
27. jang-2025-chatbot-help-patients-understand-their
28. javaji-2025-what-would-you-ask-when
29. jin-2024-select-high-quality-synthetic-qa
30. kao-2022-applying-information-extraction-storybook-question
31. preda-2026-automated-extraction-answer-candidates-question
32. yoon-2023-diversity-enhanced-narrative-question-generation
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