---
title: "Who cites Fantastic Questions and Where to Find Them…"
description: "The papers of the Elamur Research library that cite «Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative…"
canonical: "https://research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Fantastic Questions and Where to Find Them…](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/) / cited by

# Who cites «Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension»

72 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/xu-2022-fantastic-questions-where-find-them/)

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. [Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?](https://aclanthology.org/2026.acl-long.1241/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [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*
4. [From Generation to Evaluation: A Resource for Error-Categorized Question Generation from Video Transcripts](https://aclanthology.org/2026.lrec-1.170/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
5. [INDAQA2 - A Large Italian Narrative QA Benchmark: A CALAMITA 2026 Challenge](https://aclanthology.org/2026.evalita-1.71/) *— 2026 · Proceedings of the Ninth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026)*
6. [Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation](https://aclanthology.org/2026.acl-long.790/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation](https://aclanthology.org/2026.findings-eacl.277/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
8. [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)*
9. [A Little Human Data Goes A Long Way](https://aclanthology.org/2025.acl-short.30/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
10. [Advancing Question Generation with Joint Narrative and Difficulty Control](https://aclanthology.org/2025.bea-1.46/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
11. [Automatic Generation of Inference Making Questions for Reading Comprehension Assessments](https://aclanthology.org/2025.bea-1.31/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
12. [Beyond the Textual: Generating Coherent Visual Options for MCQs](https://aclanthology.org/2025.findings-emnlp.365/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
13. [Chatbot To Help Patients Understand Their Health](https://aclanthology.org/2025.findings-emnlp.351/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
14. [CrossQG: Improving Difficulty-Controllable Question Generation through Consistency Enhancement](https://aclanthology.org/2025.findings-emnlp.151/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
15. [Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://aclanthology.org/2025.tacl-1.31/) *— 2025 · Transactions of the Association for Computational Linguistics*
16. [D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation](https://arxiv.org/abs/2508.01309) *— 2025 · arXiv:2508.01309*
17. [EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs](https://aclanthology.org/2025.emnlp-main.1736/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
18. [FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction](https://aclanthology.org/2025.findings-emnlp.1375/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
19. [LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs](https://aclanthology.org/2025.naacl-long.15/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
20. [PersianMCQ-Instruct: A Comprehensive Resource for Generating Multiple-Choice Questions in Persian](https://aclanthology.org/2025.loreslm-1.27/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
21. [Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents](https://aclanthology.org/2025.naacl-demo.20/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)*
22. [Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild](https://aclanthology.org/2025.emnlp-main.852/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
23. [The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters](https://aclanthology.org/2025.acl-long.1103/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts](https://aclanthology.org/2025.trustnlp-main.29/) *— 2025 · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)*
25. [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)*
26. [FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition](https://aclanthology.org/2024.emnlp-main.734/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
27. [Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions](https://aclanthology.org/2024.acl-long.317/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [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*
29. [Geração Automática de Perguntas em Português do Brasil Usando os Modelos PTT5 e FLAN-T5](https://aclanthology.org/2024.stil-1.11/) *— 2024 · Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology*
30. [Instruction Pre-Training: Language Models are Supervised Multitask Learners](https://aclanthology.org/2024.emnlp-main.148/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
31. [Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains](https://aclanthology.org/2024.findings-naacl.136/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
32. [Interpreting Themes from Educational Stories](https://aclanthology.org/2024.lrec-main.805/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
33. [Large language models for education: A survey and outlook](https://arxiv.org/abs/2403.18105) *— 2024*
34. [Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding](https://aclanthology.org/2024.findings-emnlp.788/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
35. [On Narrative Question Answering Skills](https://aclanthology.org/2024.naacl-short.73/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
36. [Once Upon a Replication: It is Humans” Turn to Evaluate AI”s Understanding of Children”s Stories for QA Generation](https://aclanthology.org/2024.humeval-1.10/) *— 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024*
37. [PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation](https://aclanthology.org/2024.nlp4pi-1.7/) *— 2024 · Proceedings of the Third Workshop on NLP for Positive Impact*
38. [Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers](https://aclanthology.org/2024.tacl-1.71/) *— 2024 · Transactions of the Association for Computational Linguistics*
39. [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)*
40. [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)*
41. [StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children”s Story-Based Learning](https://aclanthology.org/2024.emnlp-main.961/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
42. [SyllabusQA: A Course Logistics Question Answering Dataset](https://aclanthology.org/2024.acl-long.557/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs](https://arxiv.org/abs/2402.12030) *— 2024 · arXiv:2402.12030 · Transactions on Machine Learning Research, January 2025*
44. [大语言模型故事理解能力评价数据集(Benchmarking story comprehension ability of large language model)](https://aclanthology.org/2024.ccl-1.60/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
45. [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)*
46. [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)*
47. [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*
48. [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*
49. [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)*
50. [Cross-corpus Readability Compatibility Assessment for English Texts](https://arxiv.org/abs/2306.09704) *— 2023 · arXiv:2306.09704*
51. [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*
52. [FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets](https://arxiv.org/abs/2307.10928) *— 2023 · arXiv:2307.10928*
53. [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)*
54. [Learning to Filter Context for Retrieval-Augmented Generation](https://arxiv.org/abs/2311.08377) *— 2023 · arXiv:2311.08377*
55. [MultiQG-TI: Towards Question Generation from Multi-modal Sources](https://aclanthology.org/2023.bea-1.55/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
56. [PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading](https://aclanthology.org/2023.findings-emnlp.895/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
57. [PaniniQA: Enhancing Patient Education Through Interactive Question Answering](https://aclanthology.org/2023.tacl-1.86/) *— 2023 · Transactions of the Association for Computational Linguistics*
58. [Personality Understanding of Fictional Characters during Book Reading](https://aclanthology.org/2023.acl-long.826/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation](https://aclanthology.org/2023.findings-acl.820/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
60. [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*
61. [Story Co-telling Dialogue Generation based on Multi-Agent Reinforcement Learning and Story Highlights](https://aclanthology.org/2023.alta-1.2/) *— 2023 · Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association*
62. [Story Co-telling Dialogue Generation via Reinforcement Learning and Knowledge Graph](https://aclanthology.org/2023.rocling-1.2/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
63. [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*
64. [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)*
65. [Augmenting eBooks with with recommended questions using contrastive fine-tuned T5](https://aclanthology.org/2022.icon-main.15/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
66. [Discord Questions: A Computational Approach To Diversity Analysis in News Coverage](https://aclanthology.org/2022.findings-emnlp.380/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
67. [GEMv2: Multilingual NLG Benchmarking in a Single Line of Code](https://aclanthology.org/2022.emnlp-demos.27/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
68. [Interactive Children's Story Rewriting Through Parent-Children Interaction](https://aclanthology.org/2022.in2writing-1.9/) *— 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)*
69. [It is AI”s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children”s Story Books](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [MBTI Personality Prediction for Fictional Characters Using Movie Scripts](https://aclanthology.org/2022.findings-emnlp.500/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
71. [Narrative Why-Question Answering: A Review of Challenges and Datasets](https://aclanthology.org/2022.gem-1.48/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
72. [TVShowGuess: Character Comprehension in Stories as Speaker Guessing](https://aclanthology.org/2022.naacl-main.317/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*