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

1. Construction and Analysis of Japanese Parent-Child Dialogic Reading Corpus for Conversational Agents — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
3. ReproNLP 2026: A Third Replication of the Human Evaluation of a QAG System for Children''s Storybooks — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
4. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art — 2025 · Transactions of the Association for Computational Linguistics
5. LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs — 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)
6. PersianMCQ-Instruct: A Comprehensive Resource for Generating Multiple-Choice Questions in Persian — 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages
7. Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)
8. Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
9. The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
10. Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
11. FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
12. Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
13. Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
14. Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
15. Large language models for education: A survey and outlook — 2024
16. Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
17. Once Upon a Replication: It is Humans'' Turn to Evaluate AI''s Understanding of Children''s Stories for QA Generation — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
18. Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers — 2024 · Transactions of the Association for Computational Linguistics
19. SyllabusQA: A Course Logistics Question Answering Dataset — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
20. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs — 2024 · arXiv:2402.12030 · Transactions on Machine Learning Research, January 2025
21. 大语言模型故事理解能力评价数据集(Benchmarking story comprehension ability of large language model) — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
22. Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
23. Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
24. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
25. Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
26. Comparing Neural Question Generation Architectures for Reading Comprehension — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
27. Cross-corpus Readability Compatibility Assessment for English Texts — 2023 · arXiv:2306.09704
28. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets — 2023 · arXiv:2307.10928
29. Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
30. Learning to Filter Context for Retrieval-Augmented Generation — 2023 · arXiv:2311.08377
31. MultiQG-TI: Towards Question Generation from Multi-modal Sources — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
32. PaniniQA: Enhancing Patient Education Through Interactive Question Answering — 2023 · Transactions of the Association for Computational Linguistics
33. Personality Understanding of Fictional Characters during Book Reading — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
34. Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
35. SkillQG: Learning to Generate Question for Reading Comprehension Assessment — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
36. Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
37. Discord Questions: A Computational Approach To Diversity Analysis in News Coverage — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
38. GEMv2: Multilingual NLG Benchmarking in a Single Line of Code — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
39. It is AI''s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children''s Story Books — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
40. MBTI Personality Prediction for Fictional Characters Using Movie Scripts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
41. Narrative Why-Question Answering: A Review of Challenges and Datasets — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
42. TVShowGuess: Character Comprehension in Stories as Speaker Guessing — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
43. ashok-2025-little-human-data-goes-long
44. berger-2026-generation-evaluation-resource-error-categorized
45. braga-2024-geracao-automatica-de-perguntas-em
46. chance-2025-will-prince-get-true-love
47. chen-2024-storysparkqa-expert-annotated-qa-pairs
48. ding-2024-sgcm-salience-guided-context-modeling
49. dutulescu-2026-orso-qgen-odds-ratio-steerable
50. gioffre-2026-indaqa2-large-italian-narrative-qa
51. hwang-2026-can-llms-estimate-cognitive-complexity
52. jang-2025-chatbot-help-patients-understand-their
53. jin-2024-select-high-quality-synthetic-qa
54. johnson-2025-ficsim-dataset-multi-faceted-semantic
55. kalbaliyev-2024-narrative-question-answering-skills
56. kao-2022-applying-information-extraction-storybook-question
57. kumar-2022-augmenting-ebooks-recommended-questions-contrastive
58. lee-2022-interactive-children-s-story-rewriting
59. lee-2023-story-co-telling-dialogue-generation
60. lee-2023-story-co-telling-dialogue-generation-2023-rocling-1-2
61. leite-2025-advancing-question-generation-joint-narrative
62. li-2025-crossqg-improving-difficulty-controllable-question
63. ma-2025-automatic-generation-inference-making-questions
64. naeem-2025-eduadapt-question-answer-benchmark-dataset
65. preda-2026-automated-extraction-answer-candidates-question
66. tsai-2024-pg-story-taxonomy-dataset-evaluation
67. wang-2024-interpreting-answers-yes-no-questions
68. wang-2025-beyond-textual-generating-coherent-visual
69. yoon-2023-diversity-enhanced-narrative-question-generation
70. zhang-2024-interpreting-themes-educational-stories
71. zhao-2023-parrot-zero-shot-narrative-reading
72. zhou-2025-d-score-document-centric-segmentation

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