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home / docs / papers / cited-by / Who cites «Abductive Commonsense Reasoning» · page 2

Who cites «Abductive Commonsense Reasoning» · page 2

274 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3

  1. True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4 — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
  2. Uncovering Implicit Inferences for Improved Relational Argument Mining — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  3. Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  4. Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  5. A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  6. A Review on Language Models as Knowledge Bases — 2022 · arXiv:2204.06031
  7. A Systematic Investigation of Commonsense Knowledge in Large Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  8. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  9. AbductionRules: Training Transformers to Explain Unexpected Inputs — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  10. Aligning Generative Language Models with Human Values — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  11. Analytical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  12. Analyzing Biases to Spurious Correlations in Text Classification Tasks — 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 2: Short Papers)
  13. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
  14. CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. Case-Based Abductive Natural Language Inference — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  16. ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian — 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
  18. CoSe-Co: Text Conditioned Generative CommonSense Contextualizer — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  19. Coalescing Global and Local Information for Procedural Text Understanding — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  20. Diffusion-LM Improves Controllable Text Generation — 2022 · arXiv:2205.14217
  21. DiscoSense: Commonsense Reasoning with Discourse Connectives — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  22. Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  23. Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  24. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  25. Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  26. GEMv2: Multilingual NLG Benchmarking in a Single Line of Code — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  27. GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  28. Hyperdecoders: Instance-specific decoders for multi-task NLP — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  29. ILDAE: Instance-Level Difficulty Analysis of Evaluation Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. Knowledge-Augmented Methods for Natural Language Processing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  31. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought — 2022 · arXiv:2210.01240
  32. Leveraging Large Language Models for Multiple Choice Question Answering — 2022 · arXiv:2210.12353
  33. LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  34. Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  35. Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  36. Natural Language Deduction with Incomplete Information — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  37. On Curriculum Learning for Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  38. On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  39. PaCo: Preconditions Attributed to Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  40. Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  41. Reasoning Like Program Executors — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  42. Retrieval Augmentation for Commonsense Reasoning: A Unified Approach — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  43. SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. Stop Measuring Calibration When Humans Disagree — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  45. Task Compass: Scaling Multi-task Pre-training with Task Prefix — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  46. Things not Written in Text: Exploring Spatial Commonsense from Visual Signals — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Transferring Confluent Knowledge to Argument Mining — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  49. Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  50. UL2: Unifying Language Learning Paradigms — 2022 · arXiv:2205.05131
  51. WordTies: Measuring Word Associations in Language Models via Constrained Sampling — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  52. e-CARE: a New Dataset for Exploring Explainable Causal Reasoning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  53. minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models — 2022 · arXiv:2203.13112
  54. Benchmarking Machine Reading Comprehension: A Psychological Perspective — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  55. Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  56. COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion — 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)
  57. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  58. Can Machines Learn Morality? The Delphi Experiment — 2021 · arXiv:2110.07574
  59. Comparing Test Sets with Item Response Theory — 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. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  61. Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards — 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)
  62. Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  63. Embracing Ambiguity: Shifting the Training Target of NLI Models — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  64. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning — 2021 · arXiv:2111.10952
  65. ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  66. Explanations for CommonsenseQA: New Dataset and Models — 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)
  67. Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  68. Generating Hypothetical Events for Abductive Inference — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  69. Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  70. Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  71. Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  72. Learning Event Graph Knowledge for Abductive Reasoning — 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)
  73. Learning with Different Amounts of Annotation: From Zero to Many Labels — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  74. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  75. Modeling Event Plausibility with Consistent Conceptual Abstraction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  76. Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  77. OTTers: One-turn Topic Transitions for Open-Domain Dialogue — 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)
  78. On-the-Fly Attention Modulation for Neural Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  79. Probing Across Time: What Does RoBERTa Know and When? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  80. ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  81. Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models — 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)
  82. RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  83. TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models — 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)
  84. TellMeWhy: A Dataset for Answering Why-Questions in Narratives — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  85. Temporal Reasoning on Implicit Events from Distant Supervision — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  86. Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  87. UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark — 2021 · arXiv:2103.13009
  88. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  89. Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  90. ``I''m Not Mad'''': Commonsense Implications of Negation and Contradiction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  91. Adversarial Filters of Dataset Biases — 2020 · arXiv:2002.04108
  92. Adversarial NLI: A New Benchmark for Natural Language Understanding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  93. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  94. Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  95. CSKG: The CommonSense Knowledge Graph — 2020 · arXiv:2012.11490 (ESWC 2021 Resource Track)
  96. Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  97. Continual Lifelong Learning in Natural Language Processing: A Survey — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  98. Do We Need to Create Big Datasets to Learn a Task? — 2020 · Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing
  99. INFOTABS: Inference on Tables as Semi-structured Data — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  100. INSET: Sentence Infilling with INter-SEntential Transformer — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

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