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# Who cites «Abductive Commonsense Reasoning» · page 3

274 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/bhagavatula-2019-abductive-commonsense-reasoning/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bhagavatula-2019-abductive-commonsense-reasoning/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bhagavatula-2019-abductive-commonsense-reasoning-2/) · **3**

1. [Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph](https://aclanthology.org/2020.emnlp-main.54/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
2. [Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs](https://aclanthology.org/2020.findings-emnlp.253/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
3. [New Protocols and Negative Results for Textual Entailment Data Collection](https://aclanthology.org/2020.emnlp-main.658/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
4. [Paragraph-level Commonsense Transformers with Recurrent Memory](https://arxiv.org/abs/2010.01486) *— 2020 · arXiv:2010.01486*
5. [ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning](https://aclanthology.org/2020.emnlp-main.85/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
6. [SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations](https://aclanthology.org/2020.acl-main.502/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
7. [Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering](https://aclanthology.org/2020.emnlp-main.11/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
8. [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*
9. [Thinking Like a Skeptic: Defeasible Inference in Natural Language](https://aclanthology.org/2020.findings-emnlp.418/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
10. [Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning](https://aclanthology.org/2020.emnlp-main.61/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
11. [VisualCOMET: Reasoning about the Dynamic Context of a Still Image](https://arxiv.org/abs/2004.10796) *— 2020 · arXiv:2004.10796*
12. [Visuo-Linguistic Question Answering (VLQA) Challenge](https://aclanthology.org/2020.findings-emnlp.413/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
13. [What Can We Learn from Collective Human Opinions on Natural Language Inference Data?](https://aclanthology.org/2020.emnlp-main.734/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
14. [XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning](https://aclanthology.org/2020.emnlp-main.185/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
15. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
16. ajjour-2026-argbench-benchmarking-llms-computational-argumentation
17. allaway-2025-evaluating-defeasible-reasoning-llms-defreasing
18. ayandosu-2026-ai4pc-howard-university-semeval-2026
19. azin-2026-do-language-models-know-theo
20. barrett-2024-can-humans-identify-domains
21. bian-2024-rule-or-story-which-is
22. chang-2024-when-parts-are-greater-than
23. chun-2023-cretihc-designing-causal-reasoning-tasks
24. feng-2023-learning-predict-task-transferability-soft
25. gemechu-2025-natural-language-reasoning-large-language
26. ghosh-2024-compare-without-despair-reliable-preference
27. goyal-2026-paradise-semeval-2026-task-12
28. gu-2024-detectbench-can-large-language-model
29. gu-2024-digital-socrates-evaluating-llms-through
30. guo-2024-econnli-evaluating-large-language-models
31. hao-2022-acenet-attention-guided-commonsense-reasoning
32. is-2022-embarrassingly-simple-performance-prediction-abductive
33. ishii-2023-contrastive-learning-inference-dialogue
34. jeon-2026-do-mllms-capture-how-interfaces
35. jeong-2026-team-yty-semeval-2026-task
36. jiang-2026-reasoning-combinatorial-constrained-world-benchmarking
37. kamath-2026-humans-llms-diverge-probabilistic-inferences
38. karafyllis-2026-ails-ntua-semeval-2026-task
39. keith-2020-uncertainty-over-uncertainty-investigating-assumptions
40. kohli-2025-groundcocoa-benchmark-evaluating-compositional-conditional
41. lahnala-2024-appraisal-framework-clinical-empathy-novel
42. li-2023-multi-modal-action-chain-abductive
43. li-2025-glider-global-local-instruction-driven
44. li-2025-hellaswag-pro-large-scale-bilingual
45. li-2026-bbgame-semeval-2026-task-12
46. lian-2025-beyond-surface-simplicity-revealing-hidden
47. liu-2024-are-llms-capable-data-based
48. liu-2024-incomplete-loop-deductive-inductive-abductive
49. liu-2025-eliciting-improving-causal-reasoning-abilities
50. maharana-2022-grada-graph-generative-data-augmentation
51. mu-2024-generating-contrastive-narratives-brownian-bridge
52. murata-2024-time-aware-comet-commonsense-knowledge
53. nair-2021-improving-abstractive-summarization-commonsense-knowledge
54. onderkova-2025-insight-discovery-structured-data
55. otani-2023-textual-dataset-situated-proactive-response
56. park-2024-zero-shot-commonsense-reasoning-over
57. qin-2025-beyond-output-matching-bidirectional-alignment
58. radharapu-2025-arbiters-ambivalence-challenges-llms-no
59. ren-2022-specializing-pre-trained-language-models
60. salimi-2026-cedar-grpo-process-aware-reinforcement
61. seo-2024-kocommongen-v2-benchmark-navigating-korean
62. shalom-2023-curating-datasets-better-performance-example
63. son-2025-multimodal-uncommonsense-odd-ordinary-ordinary
64. sugawara-2023-degrees-freedom-defining-testing-natural
65. uzunoglu-2024-paradise-evaluating-implicit-planning-skills
66. vallurupalli-2025-core-condition-based-reasoning-identifying
67. xiu-2025-multilogicnmr-er-benchmark-neural-symbolic
68. yamasaki-2025-multi-step-or-direct-proactive
69. yu-2023-jecc-commonsense-reasoning-tasks-derived
70. zandie-2023-cogen-abductive-commonsense-language-generation
71. zhang-2024-eplsa-synergy-expert-prefix-mixtures
72. zhang-2025-conke-conceptualization-augmented-knowledge-editing
73. zheng-2025-logidynamics-unraveling-dynamics-inductive-abductive
74. zhong-2023-disentangling-reasoning-capabilities-language-models

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