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home / docs / papers / cited-by / Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning» · page 2

Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning» · page 2

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

Pages: 1 · 2 · 3

  1. A Systematic Investigation of Commonsense Knowledge in Large Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  2. Analytical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  3. Analyzing Multi-Task Learning for Abstractive Text Summarization — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  4. Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  5. Attention-Focused Adversarial Training for Robust Temporal Reasoning — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  6. 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
  7. Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey — 2022 · arXiv:2201.12438
  8. ConTinTin: Continual Learning from Task Instructions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. Cross-Task Generalization via Natural Language Crowdsourcing Instructions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  11. DiscoSense: Commonsense Reasoning with Discourse Connectives — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  12. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  13. EvEntS ReaLM: Event Reasoning of Entity States via Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  14. Improving In-Context Few-Shot Learning via Self-Supervised Training — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  15. Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  16. Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. Leveraging Large Language Models for Multiple Choice Question Answering — 2022 · arXiv:2210.12353
  18. Leveraging QA Datasets to Improve Generative Data Augmentation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  19. Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  20. Logical Reasoning for Task Oriented Dialogue Systems — 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
  21. Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  22. Narrative Why-Question Answering: A Review of Challenges and Datasets — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  23. 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
  24. Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  25. Probing Script Knowledge from Pre-Trained Models — 2022 · Proceedings of the Workshop on Unimodal and Multimodal Induction of Linguistic Structures (UM-IoS)
  26. QuALITY: Question Answering with Long Input Texts, Yes! — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  27. Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  28. ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning — 2022 · arXiv:2212.07919
  29. Reframing Instructional Prompts to GPTk's Language — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  30. Retrieval Augmentation for Commonsense Reasoning: A Unified Approach — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  31. 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)
  32. Task Compass: Scaling Multi-task Pre-training with Task Prefix — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  33. The Legal Argument Reasoning Task in Civil Procedure — 2022 · Proceedings of the Natural Legal Language Processing Workshop 2022
  34. Toward Building a Language Model for Understanding Temporal Commonsense — 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: Student Research Workshop
  35. Transferring Confluent Knowledge to Argument Mining — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  36. 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
  37. UKP-SQUARE: An Online Platform for Question Answering Research — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  38. UL2: Unifying Language Learning Paradigms — 2022 · arXiv:2205.05131
  39. Using Commonsense Knowledge to Answer Why-Questions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  40. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation — 2022 · arXiv:2201.05955
  41. What Artificial Neural Networks Can Tell Us About Human Language Acquisition — 2022 · arXiv:2208.07998
  42. What Makes Reading Comprehension Questions Difficult? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  43. Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  44. Zero-shot Event Causality Identification with Question Answering — 2022 · Proceedings of the Fifth International Conference on Computational Linguistics in Bulgaria (CLIB 2022)
  45. `Am I the Bad One''? Predicting the Moral Judgement of the Crowd Using Pre–trained Language Models — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  46. ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning — 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
  47. Automatic Story Generation: Challenges and Attempts — 2021 · Proceedings of the Third Workshop on Narrative Understanding
  48. 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
  49. Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  50. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  51. Can Machines Learn Morality? The Delphi Experiment — 2021 · arXiv:2110.07574
  52. Commonsense-Focused Dialogues for Response Generation: An Empirical Study — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  53. 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)
  54. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  55. DAGN: Discourse-Aware Graph Network for Logical Reasoning — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  56. Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  57. ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  58. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  59. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  60. EventPlus: A Temporal Event Understanding Pipeline — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
  61. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning — 2021 · arXiv:2111.10952
  62. ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  63. Extracting Temporal Event Relation with Syntax-guided Graph Transformer — 2021 · arXiv:2104.09570
  64. Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  65. Finetuned Language Models Are Zero-Shot Learners — 2021 · arXiv:2109.01652
  66. ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data — 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. Generating Hypothetical Events for Abductive Inference — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  68. 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
  69. Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  70. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  71. Modeling Context in Answer Sentence Selection Systems on a Latency Budget — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  72. Multitask Prompted Training Enables Zero-Shot Task Generalization — 2021 · arXiv:2110.08207
  73. Muppet: Massive Multi-task Representations with Pre-Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  74. NLQuAD: A Non-Factoid Long Question Answering Data Set — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  75. On Commonsense Cues in BERT for Solving Commonsense Tasks — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  76. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing — 2021 · arXiv:2107.13586
  77. RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  78. Syntax-Enhanced Pre-trained Model — 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)
  79. 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)
  80. Towards a Language Model for Temporal Commonsense Reasoning — 2021 · Proceedings of the Student Research Workshop Associated with RANLP 2021
  81. UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark — 2021 · arXiv:2103.13009
  82. What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? — 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)
  83. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  84. Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  85. A Benchmark Arabic Dataset for Commonsense Explanation — 2020 · arXiv:2012.10251
  86. AdapterFusion: Non-Destructive Task Composition for Transfer Learning — 2020 · arXiv:2005.00247 · Proceedings of EACL 2021
  87. Adversarial Training for Commonsense Inference — 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP
  88. 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)
  89. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models — 2020 · arXiv:2005.14709
  90. CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  91. Commonsense Evidence Generation and Injection in Reading Comprehension — 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  92. Commonsense Reasoning for Natural Language Processing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  93. Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  94. Conversational Machine Comprehension: a Literature Review — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  95. Designing Precise and Robust Dialogue Response Evaluators — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  96. English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
  97. Improving Event Detection via Open-domain Trigger Knowledge — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  98. Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks — 2020 · Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
  99. Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  100. Is this sentence valid? An Arabic Dataset for Commonsense Validation — 2020 · arXiv:2008.10873

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