---
title: "Who cites Abductive Commonsense Reasoning"
description: "The papers of the Elamur Research library that cite «Abductive Commonsense Reasoning», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/cited-by/"
---
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# Who cites «Abductive Commonsense Reasoning»

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

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

1. [AI4PC-Howard University at SemEval-2026 Task 12: Evidence-Guided Abductive Scoring with Option-Conditioned Retrieval and Constrained LLM Evaluation](https://aclanthology.org/2026.semeval-1.331/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
2. [AILS-NTUA at SemEval-2026 Task 12: Graph-Based Retrieval and Reflective Prompting for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.252/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
3. [ArgBench: Benchmarking LLMs on Computational Argumentation Tasks](https://aclanthology.org/2026.findings-acl.1099/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
4. [Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility](https://aclanthology.org/2026.acl-long.599/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [BBgame at SemEval-2026 Task 12: Small Lanugage Model Fintuning for Abductive Event Reasoning task](https://aclanthology.org/2026.semeval-1.122/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
6. [CEDAR-GRPO: Process-Aware Reinforcement Learning for General Abductive Reasoning in LLMs](https://arxiv.org/abs/2608.14791) *— 2026 · arXiv:2608.14791*
7. [DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay](https://aclanthology.org/2026.acl-short.37/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
8. [Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective](https://aclanthology.org/2026.findings-acl.1103/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
9. [Do Language Models Know Theo Has a Wife? Investigating the Proviso Problem](https://aclanthology.org/2026.lrec-1.155/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
10. [Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding](https://aclanthology.org/2026.acl-long.2049/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI](https://aclanthology.org/2026.findings-acl.65/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
12. [HCMUS RepeatedGames at SemEval-2026 Task 12: CausalRAG: Synergizing Causal Graph Retrieval and Extended LoRA for Abductive Reasoning](https://aclanthology.org/2026.semeval-1.59/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
13. [Humans and LLMs Diverge on Probabilistic Inferences](https://aclanthology.org/2026.tacl-1.93/) *— 2026 · Transactions of the Association for Computational Linguistics*
14. [KDW at SemEval-2026 Task 12: Logic-Driven Distillation with Knowledge Graphs for Efficient Abductive Reasoning](https://aclanthology.org/2026.semeval-1.124/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
15. [Knowledge Vector of Logical Reasoning in Large Language Models](https://aclanthology.org/2026.acl-long.2021/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden States](https://aclanthology.org/2026.trustnlp-main.12/) *— 2026 · Proceedings of the 6th Workshop on Trustworthy NLP (TrustNLP 2026)*
17. [OseiBrefo-Liang at SemEval-2026 Task 12: Hybrid Causal Knowledge Graphs and Neural-Symbolic Policy Optimisation for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.287/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
18. [Paradise at SemEval-2026 Task 12: Leveraging Instruction-Tuned Large Language Models with Chain-of-Thought Prompting for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.100/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
19. [Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization](https://aclanthology.org/2026.findings-acl.1529/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
20. [SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models](https://aclanthology.org/2026.semeval-1.446/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
21. [SemEval-2026 Task 12: Knowledge Graph with hyperbolic embedding in Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.114/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
22. [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)*
23. [Synthetic Data Generation for Training Diversified Commonsense Reasoning Models](https://aclanthology.org/2026.acl-long.1520/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Team YTY at SemEval 2026 task 12: Option-Aware Retrieval and Cross-Encoder Reasoning Framework for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.249/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
25. [The Validity of Coreference-based Evaluations of Natural Language Understanding](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
26. [Vinclat: Evaluating Reasoning, Cognition and Culture in One Game](https://aclanthology.org/2026.mme-main.4/) *— 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation*
27. [X-NLP at SemEval-2026 Task 12: Prompting LLMs for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.289/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
28. [YNU-HPCC at SemEval-2026 Task 12: Retrieval-Guided Reasoning with Teacher Distillation for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.30/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
29. [d-itlab at SemEval-2026 Task 12: Per-Option Surprisal and Multi-Stage Gating for Precision-Oriented Causal Reasoning](https://aclanthology.org/2026.semeval-1.228/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
30. [sutta at SemEval-2026 Task 12: A Multi-Perspective Retrieve-Verify-Aggregate Framework for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.323/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
31. [Arbiters of Ambivalence: Challenges of using LLMs in No-Consensus tasks](https://aclanthology.org/2025.findings-acl.243/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
32. [Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning](https://aclanthology.org/2025.acl-long.1573/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [Beyond Surface Simplicity: Revealing Hidden Reasoning Attributes for Precise Commonsense Diagnosis](https://aclanthology.org/2025.acl-long.627/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [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)*
35. [CoRE: Condition-based Reasoning for Identifying Outcome Variance in Complex Events](https://aclanthology.org/2025.findings-acl.992/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
36. [ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning](https://aclanthology.org/2025.findings-acl.35/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
37. [Eliciting and Improving the Causal Reasoning Abilities of Large Language Models with Conditional Statements](https://aclanthology.org/2025.cl-2.3/) *— 2025 · Computational Linguistics*
38. [Entailed Between the Lines: Incorporating Implication into NLI](https://aclanthology.org/2025.acl-long.1552/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Evaluating Defeasible Reasoning in LLMs with DEFREASING](https://aclanthology.org/2025.naacl-long.529/) *— 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)*
40. [From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models](https://arxiv.org/abs/2505.21935) *— 2025 · arXiv:2505.21935*
41. [Glider: Global and Local Instruction-Driven Expert Router](https://aclanthology.org/2025.emnlp-main.319/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
42. [GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models](https://aclanthology.org/2025.naacl-long.420/) *— 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)*
43. [HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning](https://aclanthology.org/2025.findings-acl.472/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
44. [Insight discovery in structured data](https://aclanthology.org/2025.ynlg-main.4/) *— 2025 · Proceedings of the 1st Workshop for Young Researchers in Natural Language Generation*
45. [Let”s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition](https://arxiv.org/abs/2506.06133) *— 2025 · arXiv:2506.06133*
46. [LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning](https://aclanthology.org/2025.emnlp-main.1045/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
47. [Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models](https://aclanthology.org/2025.naacl-long.466/) *— 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)*
48. [MMTEB: Massive Multilingual Text Embedding Benchmark](https://arxiv.org/abs/2502.13595) *— 2025 · arXiv:2502.13595*
49. [Multi-step or Direct: A Proactive Home-Assistant System Based on Commonsense Reasoning](https://aclanthology.org/2025.sigdial-1.45/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
50. [MultiLogicNMR(er): A Benchmark and Neural-Symbolic Framework for Non-monotonic Reasoning with Multiple Extensions](https://aclanthology.org/2025.emnlp-main.927/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
51. [Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd](https://aclanthology.org/2025.findings-emnlp.954/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
52. [Natural Language Reasoning in Large Language Models: Analysis and Evaluation](https://aclanthology.org/2025.findings-acl.192/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
53. [On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions](https://aclanthology.org/2025.findings-emnlp.122/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
54. [Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos](https://arxiv.org/abs/2506.05302) *— 2025 · arXiv:2506.05302*
55. [STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond](https://aclanthology.org/2025.acl-long.1107/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models](https://aclanthology.org/2025.naacl-long.303/) *— 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)*
57. [An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language Models](https://arxiv.org/abs/2404.03028) *— 2024 · arXiv:2404.03028*
58. [Appraisal Framework for Clinical Empathy: A Novel Application to Breaking Bad News Conversations](https://aclanthology.org/2024.lrec-main.124/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
59. [Aquila2 Technical Report](https://arxiv.org/abs/2408.07410) *— 2024 · arXiv:2408.07410*
60. [Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data](https://aclanthology.org/2024.findings-acl.548/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
61. [Are LLMs classical or nonmonotonic reasoners? Lessons from generics](https://aclanthology.org/2024.acl-short.51/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
62. [Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?](https://aclanthology.org/2024.acl-long.555/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [Belief Revision: The Adaptability of Large Language Models Reasoning](https://aclanthology.org/2024.emnlp-main.586/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
64. [CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning](https://aclanthology.org/2024.acl-long.128/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [CLOMO: Counterfactual Logical Modification with Large Language Models](https://aclanthology.org/2024.acl-long.593/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [Can Humans Identify Domains?](https://aclanthology.org/2024.lrec-main.245/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
67. [Compare without Despair: Reliable Preference Evaluation with Generation Separability](https://aclanthology.org/2024.findings-emnlp.747/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
68. [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)*
69. [DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?](https://aclanthology.org/2024.findings-emnlp.11/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
70. [DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy](https://aclanthology.org/2024.acl-long.531/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [Digital Socrates: Evaluating LLMs through Explanation Critiques](https://aclanthology.org/2024.acl-long.302/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA](https://aclanthology.org/2024.emnlp-main.1201/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
73. [EconNLI: Evaluating Large Language Models on Economics Reasoning](https://aclanthology.org/2024.findings-acl.58/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
74. [Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus](https://arxiv.org/abs/2411.12498) *— 2024 · arXiv:2411.12498*
75. [EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning](https://aclanthology.org/2024.lrec-main.549/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
76. [Epistemology of Language Models: Do Language Models Have Holistic Knowledge?](https://aclanthology.org/2024.findings-acl.751/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
77. [Every Answer Matters: Evaluating Commonsense with Probabilistic Measures](https://aclanthology.org/2024.acl-long.29/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [Exploring Defeasibility in Causal Reasoning](https://aclanthology.org/2024.findings-acl.384/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
79. [Foundational Challenges in Assuring Alignment and Safety of Large Language Models](https://arxiv.org/abs/2404.09932) *— 2024 · arXiv:2404.09932*
80. [Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning](https://aclanthology.org/2024.acl-long.353/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models](https://aclanthology.org/2024.lrec-main.708/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
82. [How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?](https://aclanthology.org/2024.tacl-1.63/) *— 2024 · Transactions of the Association for Computational Linguistics*
83. [Improving Language Model Reasoning with Self-motivated Learning](https://aclanthology.org/2024.lrec-main.774/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
84. [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*
85. [Language Models as Inductive Reasoners](https://aclanthology.org/2024.eacl-long.13/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses](https://arxiv.org/abs/2410.07076) *— 2024 · arXiv:2410.07076*
87. [Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance](https://arxiv.org/abs/2403.09085) *— 2024 · arXiv:2403.09085*
88. [Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?](https://aclanthology.org/2024.acl-long.304/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches?](https://aclanthology.org/2024.insights-1.18/) *— 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP*
90. [Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation](https://aclanthology.org/2024.naacl-long.218/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
91. [PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset](https://aclanthology.org/2024.findings-acl.599/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
92. [Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning](https://aclanthology.org/2024.findings-emnlp.198/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
93. [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)*
94. [Time-aware COMET: A Commonsense Knowledge Model with Temporal Knowledge](https://aclanthology.org/2024.lrec-main.1405/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
95. [UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations](https://aclanthology.org/2024.naacl-long.469/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
96. [VariErr NLI: Separating Annotation Error from Human Label Variation](https://aclanthology.org/2024.acl-long.123/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models](https://aclanthology.org/2024.emnlp-main.574/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
98. [Zero-shot Commonsense Reasoning over Machine Imagination](https://aclanthology.org/2024.findings-emnlp.669/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
99. [tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework](https://aclanthology.org/2024.lrec-main.1361/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
100. [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://arxiv.org/abs/2302.04023) *— 2023 · arXiv:2302.04023*

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