Who cites «TellMeWhy: A Dataset for Answering Why-Questions in Narratives»
30 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Can Stories Help LLMs Reason? Curating Information Space Through Narrative — 2025 · Proceedings of the 2nd Workshop on Analogical Abstraction in Cognition, Perception, and Language (Analogy-Angle II)
- Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and Sundanese — 2025 · arXiv:2502.12932
- From Curiosity to Clarity : Exploring the Impact of Consecutive Why-Questions — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- NarratEX Dataset: Explaining the Dominant Narratives in News Texts — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries — 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
- SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
- Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Towards Evaluation of Language Models with Skill Dimensions: A Case Study on Narrative Question Answering — 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)
- A Critical Review of Causal Reasoning Benchmarks for Large Language Models — 2024 · arXiv:2407.08029
- CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans — 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)
- 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)
- SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- ALERT: Adapt Language Models to Reasoning Tasks — 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
- Automatic Evaluation of Generative Models with Instruction Tuning — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Benchmarks for Automated Commonsense Reasoning: A Survey — 2023 · arXiv:2302.04752
- CLadder: Assessing Causal Reasoning in Language Models — 2023 · arXiv:2312.04350
- Diversity Enhanced Narrative Question Generation for Storybooks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- 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)
- Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
- NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- CausalQA: A Benchmark for Causal Question Answering — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- How about Time? Probing a Multilingual Language Model for Temporal Relations — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Inferring Implicit Relations in Complex Questions with Language Models — 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
- Using Commonsense Knowledge to Answer Why-Questions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing