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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

Pages: 1 · 2 · 3

  1. Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  3. Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  4. EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  5. HCMUS RepeatedGames at SemEval-2026 Task 12: CausalRAG: Synergizing Causal Graph Retrieval and Extended LoRA for Abductive Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  6. KDW at SemEval-2026 Task 12: Logic-Driven Distillation with Knowledge Graphs for Efficient Abductive Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  7. Knowledge Vector of Logical Reasoning in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden States — 2026 · Proceedings of the 6th Workshop on Trustworthy NLP (TrustNLP 2026)
  9. OseiBrefo-Liang at SemEval-2026 Task 12: Hybrid Causal Knowledge Graphs and Neural-Symbolic Policy Optimisation for Abductive Event Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  10. SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  11. SemEval-2026 Task 12: Knowledge Graph with hyperbolic embedding in Abductive Event Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  12. Social Story Frames: Contextual Reasoning about Narrative Intent and Reception — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Synthetic Data Generation for Training Diversified Commonsense Reasoning Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
  15. Vinclat: Evaluating Reasoning, Cognition and Culture in One Game — 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation
  16. X-NLP at SemEval-2026 Task 12: Prompting LLMs for Abductive Event Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  17. YNU-HPCC at SemEval-2026 Task 12: Retrieval-Guided Reasoning with Teacher Distillation for Abductive Event Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  18. d-itlab at SemEval-2026 Task 12: Per-Option Surprisal and Multi-Stage Gating for Precision-Oriented Causal Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  19. sutta at SemEval-2026 Task 12: A Multi-Perspective Retrieve-Verify-Aggregate Framework for Abductive Event Reasoning — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  20. CausalEval: Towards Better Causal Reasoning in Language Models — 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)
  21. Entailed Between the Lines: Incorporating Implication into NLI — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models — 2025 · arXiv:2505.21935
  23. Let''s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition — 2025 · arXiv:2506.06133
  24. Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models — 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)
  25. MMTEB: Massive Multilingual Text Embedding Benchmark — 2025 · arXiv:2502.13595
  26. On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  27. Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos — 2025 · arXiv:2506.05302
  28. STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models — 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)
  30. Aquila2 Technical Report — 2024 · arXiv:2408.07410
  31. Are LLMs classical or nonmonotonic reasoners? Lessons from generics — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  32. Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  33. Belief Revision: The Adaptability of Large Language Models Reasoning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  34. CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. CLOMO: Counterfactual Logical Modification with Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  37. DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  39. Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus — 2024 · arXiv:2411.12498
  40. Epistemology of Language Models: Do Language Models Have Holistic Knowledge? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  41. Every Answer Matters: Evaluating Commonsense with Probabilistic Measures — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. Exploring Defeasibility in Causal Reasoning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  43. Foundational Challenges in Assuring Alignment and Safety of Large Language Models — 2024 · arXiv:2404.09932
  44. Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  45. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? — 2024 · Transactions of the Association for Computational Linguistics
  46. Improving Language Model Reasoning with Self-motivated Learning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  47. Language Models as Inductive Reasoners — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses — 2024 · arXiv:2410.07076
  49. Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance — 2024 · arXiv:2403.09085
  50. Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? — 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP
  52. Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  53. Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  54. UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  55. VariErr NLI: Separating Annotation Error from Human Label Variation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  57. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity — 2023 · arXiv:2302.04023
  58. A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond — 2023 · arXiv:2306.09841
  61. CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  62. CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  63. CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. CLadder: Assessing Causal Reasoning in Language Models — 2023 · arXiv:2312.04350
  65. COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  66. CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  67. Can Large Language Models Infer Causation from Correlation? — 2023 · arXiv:2306.05836
  68. Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  69. Commonsense Knowledge Transfer for Pre-trained Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  70. Commonsense Reasoning for Conversational AI: A Survey of the State of the Art — 2023 · arXiv:2302.07926
  71. Crystal: Introspective Reasoners Reinforced with Self-Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  72. Curing the SICK and Other NLI Maladies — 2023 · Computational Linguistics
  73. Defining a New NLP Playground — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  74. Evaluating and Improving the Coreference Capabilities of Machine Translation Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  75. Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  76. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  77. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets — 2023 · arXiv:2307.10928
  78. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems — 2023 · arXiv:2310.01991
  80. Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  81. Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language — 2023 · arXiv:2306.02797
  82. Knowledge Graph Compression Enhances Diverse Commonsense Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  83. Knowledge Rumination for Pre-trained Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  84. Large Language Models are Better Reasoners with Self-Verification — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  85. Large Language Models for Generative Information Extraction: A Survey — 2023 · arXiv:2312.17617
  86. Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  87. Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  88. Logical Reasoning over Natural Language as Knowledge Representation: A Survey — 2023 · arXiv:2303.12023
  89. Making Language Models Better Reasoners with Step-Aware Verifier — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
  91. NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  92. PASTA: A Dataset for Modeling PArticipant STAtes in Narratives — 2023 · Transactions of the Association for Computational Linguistics
  93. Pre-Training to Learn in Context — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. RECKONING: Reasoning through Dynamic Knowledge Encoding — 2023 · arXiv:2305.06349
  95. SETI: Systematicity Evaluation of Textual Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  96. Self-Consistent Narrative Prompts on Abductive Natural Language Inference — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  97. The Generative AI Paradox: "What It Can Create, It May Not Understand — 2023 · arXiv:2311.00059
  98. The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  99. The Web Can Be Your Oyster for Improving Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  100. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836

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