---
title: "Who cites GLUCOSE: GeneraLized and COntextualized Story…"
description: "The papers of the Elamur Research library that cite «GLUCOSE: GeneraLized and COntextualized Story Explanations», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/commonsense-2020-mostafazadeh-glucose-generalized-contextualized-story-explanations/cited-by/"
---
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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.research.elamur.ai/free/en/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. [MultivationBench: A Benchmark for Multimodal Sequential Motivation Reasoning](https://arxiv.org/abs/2607.26465) *— 2026 · arXiv:2607.26465*
3. [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)*
4. [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)*
5. [BLEUBERI: BLEU is a surprisingly effective reward for instruction following](https://arxiv.org/abs/2505.11080) *— 2025 · arXiv:2505.11080*
6. [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*
7. [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)*
8. [Neuro-Symbolic AI in 2024: A Systematic Review](https://arxiv.org/abs/2501.05435) *— 2025 · arXiv:2501.05435*
9. [PerCoR: Evaluating Commonsense Reasoning in Persian via Multiple-Choice Sentence Completion](https://aclanthology.org/2025.ijcnlp-long.120/) *— 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*
10. [Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries](https://aclanthology.org/2025.findings-ijcnlp.32/) *— 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*
11. [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*
12. [Analyzing Dataset Annotation Quality Management in the Wild](https://aclanthology.org/2024.cl-3.1/) *— 2024 · Computational Linguistics*
13. [Automatic Extraction of Relationships among Motivations, Emotions and Actions from Natural Language Texts](https://aclanthology.org/2024.paclic-1.107/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
14. [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)*
15. [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)*
16. [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)*
17. [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)*
18. [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)*
19. [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)*
20. [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*
21. [KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models](https://aclanthology.org/2024.findings-acl.141/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
22. [Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?](https://aclanthology.org/2024.acl-long.221/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [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)*
24. [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*
25. [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*
26. [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)*
27. [An Overview Of Temporal Commonsense Reasoning and Acquisition](https://arxiv.org/abs/2308.00002) *— 2023 · arXiv:2308.00002*
28. [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*
29. [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)*
30. [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*
31. [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)*
32. [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*
33. [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*
34. [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)*
35. [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*
36. [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*
37. [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*
38. [PASTA: A Dataset for Modeling PArticipant STAtes in Narratives](https://aclanthology.org/2023.tacl-1.73/) *— 2023 · Transactions of the Association for Computational Linguistics*
39. [常识问答研究综述](https://jos.org.cn/jos/article/abstract/6913) *— 2023 · 软件学报 (Journal of Software)*
40. [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*
41. [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)*
42. [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*
43. [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*
44. [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*
45. [Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce](https://aclanthology.org/2022.findings-emnlp.2/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
46. [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*
47. [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*
48. [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*
49. [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)*
50. [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*
51. [PaCo: Preconditions Attributed to Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.505/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
52. [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*
53. [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*
54. [Uncovering Surprising Event Boundaries in Narratives](https://aclanthology.org/2022.wnu-1.1/) *— 2022 · Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)*
55. [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)*
56. [Automatic Story Generation: Challenges and Attempts](https://aclanthology.org/2021.nuse-1.8/) *— 2021 · Proceedings of the Third Workshop on Narrative Understanding*
57. [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*
58. [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*
59. [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)*
60. [Dimensions of Commonsense Knowledge](https://arxiv.org/abs/2101.04640) *— 2021 · arXiv:2101.04640 (Knowledge-Based Systems 2021)*
61. [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*
62. [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*
63. [Probing Commonsense Explanation in Dialogue Response Generation](https://aclanthology.org/2021.findings-emnlp.349/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
64. [TellMeWhy: A Dataset for Answering Why-Questions in Narratives](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
65. [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*
66. [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*
67. [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*