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# Who cites «GLUCOSE: GeneraLized and COntextualized Story Explanations»

67 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/commonsense-2020-mostafazadeh-glucose-generalized-contextualized-story-explanations/)

1. [Disambiguation of Emotion Annotations by Contextualizing Events in Plausible Narratives](https://aclanthology.org/2026.lrec-1.757/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Social Story Frames: Contextual Reasoning about Narrative Intent and Reception](https://aclanthology.org/2026.acl-long.1934/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning](https://aclanthology.org/2025.naacl-long.49/) *— 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)*
4. [BLEUBERI: BLEU is a surprisingly effective reward for instruction following](https://arxiv.org/abs/2505.11080) *— 2025 · arXiv:2505.11080*
5. [CaLQuest.PT: Towards the Collection and Evaluation of Natural Causal Ladder Questions in Portuguese for AI Agents](https://aclanthology.org/2025.loreslm-1.26/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
6. [CausalEval: Towards Better Causal Reasoning in Language Models](https://aclanthology.org/2025.naacl-long.622/) *— 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)*
7. [Neuro-Symbolic AI in 2024: A Systematic Review](https://arxiv.org/abs/2501.05435) *— 2025 · arXiv:2501.05435*
8. [SocialMaze: A Benchmark for Evaluating and Enhancing Social Reasoning in Large Language Models in Complex Social Environments](https://arxiv.org/abs/2505.23713) *— 2025 · arXiv:2505.23713*
9. [Analyzing Dataset Annotation Quality Management in the Wild](https://aclanthology.org/2024.cl-3.1/) *— 2024 · Computational Linguistics*
10. [Boosting Language Models Reasoning with Chain-of-Knowledge Prompting](https://aclanthology.org/2024.acl-long.271/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [COKE: A Cognitive Knowledge Graph for Machine Theory of Mind](https://aclanthology.org/2024.acl-long.848/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs](https://aclanthology.org/2024.acl-long.613/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases](https://aclanthology.org/2024.eacl-long.42/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Event Causality Is Key to Computational Story Understanding](https://aclanthology.org/2024.naacl-long.191/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
15. [EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs](https://aclanthology.org/2024.lrec-main.587/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
16. [Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations](https://aclanthology.org/2024.findings-eacl.47/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
17. [SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models](https://aclanthology.org/2024.acl-long.625/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning](https://aclanthology.org/2024.emnlp-main.932/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
19. [mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans](https://aclanthology.org/2024.findings-acl.844/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
20. [ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems](https://aclanthology.org/2023.acl-long.241/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [An Overview Of Temporal Commonsense Reasoning and Acquisition](https://arxiv.org/abs/2308.00002) *— 2023 · arXiv:2308.00002*
22. [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*
23. [CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning](https://aclanthology.org/2023.acl-long.733/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm](https://aclanthology.org/2023.findings-eacl.8/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
25. [COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective](https://aclanthology.org/2023.acl-long.288/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [COMET-M: Reasoning about Multiple Events in Complex Sentences](https://aclanthology.org/2023.findings-emnlp.861/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
27. [CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding](https://aclanthology.org/2023.findings-acl.832/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
28. [Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths](https://aclanthology.org/2023.acl-long.742/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Don''t Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting](https://aclanthology.org/2023.emnlp-main.701/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
30. [Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection](https://aclanthology.org/2023.findings-emnlp.232/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
31. [Modeling Empathic Similarity in Personal Narratives](https://aclanthology.org/2023.emnlp-main.383/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
32. [PASTA: A Dataset for Modeling PArticipant STAtes in Narratives](https://aclanthology.org/2023.tacl-1.73/) *— 2023 · Transactions of the Association for Computational Linguistics*
33. [常识问答研究综述](https://jos.org.cn/jos/article/abstract/6913) *— 2023 · 软件学报 (Journal of Software)*
34. [Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations](https://aclanthology.org/2022.emnlp-main.137/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
35. [CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues](https://aclanthology.org/2022.acl-long.344/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models](https://aclanthology.org/2022.emnlp-main.628/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
37. [CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations](https://aclanthology.org/2022.findings-acl.93/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
38. [Coalescing Global and Local Information for Procedural Text Understanding](https://aclanthology.org/2022.coling-1.132/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
39. [How about Time? Probing a Multilingual Language Model for Temporal Relations](https://aclanthology.org/2022.coling-1.283/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
40. [Inferring Implicit Relations in Complex Questions with Language Models](https://aclanthology.org/2022.findings-emnlp.188/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
41. [Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs](https://aclanthology.org/2022.emnlp-main.248/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
42. [PInKS: Preconditioned Commonsense Inference with Minimal Supervision](https://aclanthology.org/2022.aacl-main.26/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
43. [POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events](https://aclanthology.org/2022.emnlp-main.594/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
44. [PaCo: Preconditions Attributed to Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.505/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
45. [Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios](https://aclanthology.org/2022.coling-1.319/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
46. [PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population](https://aclanthology.org/2022.findings-emnlp.246/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
47. [Uncovering Surprising Event Boundaries in Narratives](https://aclanthology.org/2022.wnu-1.1/) *— 2022 · Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)*
48. [Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset](https://aclanthology.org/2022.acl-long.587/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [Automatic Story Generation: Challenges and Attempts](https://aclanthology.org/2021.nuse-1.8/) *— 2021 · Proceedings of the Third Workshop on Narrative Understanding*
50. [Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset](https://aclanthology.org/2021.emnlp-main.705/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
51. [CIDER: Commonsense Inference for Dialogue Explanation and Reasoning](https://aclanthology.org/2021.sigdial-1.33/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
52. [COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion](https://aclanthology.org/2021.acl-long.395/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
53. [Dimensions of Commonsense Knowledge](https://arxiv.org/abs/2101.04640) *— 2021 · arXiv:2101.04640 (Knowledge-Based Systems 2021)*
54. [ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning](https://aclanthology.org/2021.emnlp-main.609/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
55. [Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement](https://aclanthology.org/2021.findings-acl.190/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
56. [Probing Commonsense Explanation in Dialogue Response Generation](https://aclanthology.org/2021.findings-emnlp.349/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
57. [TellMeWhy: A Dataset for Answering Why-Questions in Narratives](https://md.mova.elamur.ai/free/en/docs/papers/lal-2021-tellmewhy-dataset-answering-why-questions/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
58. [Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding](https://aclanthology.org/2021.findings-emnlp.422/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
59. [WhyAct: Identifying Action Reasons in Lifestyle Vlogs](https://aclanthology.org/2021.emnlp-main.392/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
60. [Social Commonsense Reasoning with Multi-Head Knowledge Attention](https://aclanthology.org/2020.findings-emnlp.267/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
61. alikhani-2025-percor-evaluating-commonsense-reasoning-persian
62. bian-2024-rule-or-story-which-is
63. ceraolo-2025-quriosity-analyzing-human-questioning-behavior
64. chung-2026-multivationbench-benchmark-multimodal-sequential-motivation
65. qu-2022-commonsense-knowledge-salience-evaluation-benchmark
66. seo-2024-kocommongen-v2-benchmark-navigating-korean
67. yang-2024-automatic-extraction-relationships-among-motivations
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