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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

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  1. JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  2. KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  3. Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  4. Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  5. 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)
  6. Learning to Predict Task Transferability via Soft Prompt — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  7. Long-Tailed Question Answering in an Open World — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. Machine Reading Comprehension for Vietnamese Customer Reviews: Task, Corpus and Baseline Models — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
  9. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
  10. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2023 · arXiv:2309.15402
  11. NormBank: A Knowledge Bank of Situational Social Norms — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  13. Pre-Training to Learn in Context — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. Prompting with Pseudo-Code Instructions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  15. QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  16. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  17. ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  18. SPQR@Deft2023: Similarité Sorbonne Pour les Systèmes de Question Réponse — 2023 · Actes de CORIA-TALN 2023. Actes du Défi Fouille de Textes@TALN2023
  19. SharPT: Shared Latent Space Prompt Tuning — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  20. Shepherd: A Critic for Language Model Generation — 2023 · arXiv:2308.04592
  21. Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs — 2023 · arXiv:2311.17371
  22. Strength in Numbers: Estimating Confidence of Large Language Models by Prompt Agreement — 2023 · Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)
  23. TIES-Merging: Resolving Interference When Merging Models — 2023 · arXiv:2306.01708
  24. TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks — 2023 · arXiv:2310.00752
  25. TaskWeb: Selecting Better Source Tasks for Multi-task NLP — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  26. The Flan Collection: Designing Data and Methods for Effective Instruction Tuning — 2023 · arXiv:2301.13688
  27. The Web Can Be Your Oyster for Improving Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  28. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836
  29. Unified Demonstration Retriever for In-Context Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. Using contradictions improves question answering systems — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  31. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision — 2023 · arXiv:2312.09390
  32. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation — 2023 · arXiv:2306.05783
  33. Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  34. ``World Knowledge'''' in Multiple Choice Reading Comprehension — 2023 · Proceedings of the Sixth Fact Extraction and VERification Workshop (FEVER)
  35. 常识问答研究综述 — 2023 · 软件学报 (Journal of Software)
  36. 20Q: Overlap-Free World Knowledge Benchmark for Language Models — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  37. A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  38. A Review on Language Models as Knowledge Bases — 2022 · arXiv:2204.06031
  39. A Systematic Investigation of Commonsense Knowledge in Large Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  40. Analytical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  41. Analyzing Multi-Task Learning for Abstractive Text Summarization — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  42. Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  43. Are Visual-Linguistic Models Commonsense Knowledge Bases? — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  44. Attention-Focused Adversarial Training for Robust Temporal Reasoning — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  45. 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
  46. Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey — 2022 · arXiv:2201.12438
  47. ConTinTin: Continual Learning from Task Instructions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. 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)
  49. 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
  50. Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  51. DiscoSense: Commonsense Reasoning with Discourse Connectives — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  52. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  53. EvEntS ReaLM: Event Reasoning of Entity States via Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  54. HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  55. Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  56. 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
  57. Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  58. Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  59. 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)
  60. Leveraging Large Language Models for Multiple Choice Question Answering — 2022 · arXiv:2210.12353
  61. Leveraging QA Datasets to Improve Generative Data Augmentation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  62. Lite Unified Modeling for Discriminative Reading Comprehension — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  63. Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  64. Logical Reasoning for Task Oriented Dialogue Systems — 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
  65. Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  66. Narrative Why-Question Answering: A Review of Challenges and Datasets — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  67. 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
  68. Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  69. Probing Script Knowledge from Pre-Trained Models — 2022 · Proceedings of the Workshop on Unimodal and Multimodal Induction of Linguistic Structures (UM-IoS)
  70. 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
  71. Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  72. ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning — 2022 · arXiv:2212.07919
  73. Reframing Instructional Prompts to GPTk's Language — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  74. Retrieval Augmentation for Commonsense Reasoning: A Unified Approach — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  75. 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)
  76. Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  77. Task Compass: Scaling Multi-task Pre-training with Task Prefix — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  78. The Legal Argument Reasoning Task in Civil Procedure — 2022 · Proceedings of the Natural Legal Language Processing Workshop 2022
  79. 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
  80. Transferring Confluent Knowledge to Argument Mining — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  81. 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
  82. UKP-SQUARE: An Online Platform for Question Answering Research — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  83. UL2: Unifying Language Learning Paradigms — 2022 · arXiv:2205.05131
  84. Unsupervised Domain Adaptation on Question-Answering System with Conversation Data — 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  85. Using Commonsense Knowledge to Answer Why-Questions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  86. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation — 2022 · arXiv:2201.05955
  87. What Artificial Neural Networks Can Tell Us About Human Language Acquisition — 2022 · arXiv:2208.07998
  88. What Makes Reading Comprehension Questions Difficult? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  89. 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
  90. Zero-shot Event Causality Identification with Question Answering — 2022 · Proceedings of the Fifth International Conference on Computational Linguistics in Bulgaria (CLIB 2022)
  91. `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
  92. ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning — 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
  93. Automatic Story Generation: Challenges and Attempts — 2021 · Proceedings of the Third Workshop on Narrative Understanding
  94. 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
  95. Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  96. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  97. Can Machines Learn Morality? The Delphi Experiment — 2021 · arXiv:2110.07574
  98. 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
  99. 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)
  100. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835

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