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
- Automated Extraction of Answer Candidates for Question Generation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items? — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Construction and Analysis of Japanese Parent-Child Dialogic Reading Corpus for Conversational Agents — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- From Generation to Evaluation: A Resource for Error-Categorized Question Generation from Video Transcripts — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- INDAQA2 - A Large Italian Narrative QA Benchmark: A CALAMITA 2026 Challenge — 2026 · Proceedings of the Ninth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026)
- 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)
- ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
- 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)
- A Little Human Data Goes A Long Way — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Advancing Question Generation with Joint Narrative and Difficulty Control — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
- Automatic Generation of Inference Making Questions for Reading Comprehension Assessments — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
- Beyond the Textual: Generating Coherent Visual Options for MCQs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Chatbot To Help Patients Understand Their Health — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- CrossQG: Improving Difficulty-Controllable Question Generation through Consistency Enhancement — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art — 2025 · Transactions of the Association for Computational Linguistics
- D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation — 2025 · arXiv:2508.01309
- EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- 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)
- 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
- 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)
- 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
- 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)
- Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts — 2025 · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)
- 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)
- 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
- 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)
- Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- Geração Automática de Perguntas em Português do Brasil Usando os Modelos PTT5 e FLAN-T5 — 2024 · Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology
- Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- Interpreting Themes from Educational Stories — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Large language models for education: A survey and outlook — 2024
- Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- On Narrative Question Answering Skills — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
- 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
- PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation — 2024 · Proceedings of the Third Workshop on NLP for Positive Impact
- Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers — 2024 · Transactions of the Association for Computational Linguistics
- SGCM: Salience-Guided Context Modeling for Question Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Select High-quality Synthetic QA Pairs to Augment Training Data in MRC under the Reward Guidance of Generative Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children''s Story-Based Learning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- SyllabusQA: A Course Logistics Question Answering Dataset — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs — 2024 · arXiv:2402.12030 · Transactions on Machine Learning Research, January 2025
- 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)
- 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)
- 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)
- Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- 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
- 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)
- Cross-corpus Readability Compatibility Assessment for English Texts — 2023 · arXiv:2306.09704
- Diversity Enhanced Narrative Question Generation for Storybooks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets — 2023 · arXiv:2307.10928
- 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)
- Learning to Filter Context for Retrieval-Augmented Generation — 2023 · arXiv:2311.08377
- 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)
- PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- PaniniQA: Enhancing Patient Education Through Interactive Question Answering — 2023 · Transactions of the Association for Computational Linguistics
- 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)
- Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- SkillQG: Learning to Generate Question for Reading Comprehension Assessment — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Story Co-telling Dialogue Generation based on Multi-Agent Reinforcement Learning and Story Highlights — 2023 · Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association
- Story Co-telling Dialogue Generation via Reinforcement Learning and Knowledge Graph — 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
- Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Applying Information Extraction to Storybook Question and Answer Generation — 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)
- Augmenting eBooks with with recommended questions using contrastive fine-tuned T5 — 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)
- Discord Questions: A Computational Approach To Diversity Analysis in News Coverage — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- 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
- Interactive Children's Story Rewriting Through Parent-Children Interaction — 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)
- 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)
- MBTI Personality Prediction for Fictional Characters Using Movie Scripts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Narrative Why-Question Answering: A Review of Challenges and Datasets — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- 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