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home / docs / papers / cited-by / Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 2

Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 2

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

Pages: 1 · 2 · 3 · 4 · 5 · 6

  1. XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
  2. ``World Knowledge'''' in Multiple Choice Reading Comprehension — 2023 · Proceedings of the Sixth Fact Extraction and VERification Workshop (FEVER)
  3. 基于推理链的多跳问答对抗攻击和对抗增强训练方法(Reasoning Chain Based Adversarial Attack and Adversarial Augmentation Training for Multi-hop Question Answering) — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  4. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  6. ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics — our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  7. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  8. ASQA: Factoid Questions Meet Long-Form Answers — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  9. Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches — 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)
  10. Can Explanations Be Useful for Calibrating Black Box Models? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  11. Can Rationalization Improve Robustness? — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  12. Challenges in Generalization in Open Domain Question Answering — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  13. Claim Extraction and Law Matching for COVID-19-related Legislation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  14. CommonsenseQA 2.0: Exposing the Limits of AI through Gamification — 2022 · arXiv:2201.05320
  15. Consistency Training with Virtual Adversarial Discrete Perturbation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  16. Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation — 2022 · Transactions of the Association for Computational Linguistics
  17. DataLab: A Platform for Data Analysis and Intervention — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  18. Debiasing Masks: A New Framework for Shortcut Mitigation in NLU — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  19. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
  20. Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations — 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP
  21. Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  22. Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  23. Exploring The Landscape of Distributional Robustness for Question Answering Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  24. FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  25. Feeding What You Need by Understanding What You Learned — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  26. Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
  27. Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  28. Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  29. Improving the Adversarial Robustness of NLP Models by Information Bottleneck — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  30. Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review — 2022 · arXiv:2202.12205 · Semantic Web, vol. Pre-press, no. Pre-press, pp. 1-42, 2022
  31. Lexical Generalization Improves with Larger Models and Longer Training — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  32. Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering — 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  33. Machine Reading, Fast and Slow: When Do Models ``Understand'''' Language? — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  34. Measure and Improve Robustness in NLP Models: A Survey — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  35. Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning Optimization — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  36. Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  37. On Length Divergence Bias in Textual Matching Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  38. On the Robustness of Reading Comprehension Models to Entity Renaming — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  39. PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  40. Partial-input baselines show that NLI models can ignore context, but they don't. — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  41. Phrase-level Textual Adversarial Attack with Label Preservation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  42. Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  43. Prompting GPT-3 To Be Reliable — 2022 · arXiv:2210.09150
  44. ProoFVer: Natural Logic Theorem Proving for Fact Verification — 2022 · Transactions of the Association for Computational Linguistics
  45. Quantifying Adaptability in Pre-trained Language Models with 500 Tasks — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  46. Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  47. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned — 2022 · arXiv:2209.07858
  48. Red Teaming Language Models with Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  49. Residue-Based Natural Language Adversarial Attack Detection — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  50. Retrieval-guided Counterfactual Generation for QA — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  52. Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  53. Robust Speech Recognition via Large-Scale Weak Supervision — 2022 · arXiv:2212.04356
  54. Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  55. SemAttack: Natural Textual Attacks via Different Semantic Spaces — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  56. Semantically Distributed Robust Optimization for Vision-and-Language Inference — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  57. State-of-the-art generalisation research in NLP: A taxonomy and review — 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)
  58. TAPE: Assessing Few-shot Russian Language Understanding — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  59. TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  60. Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  61. Text Characterization Toolkit (TCT) — 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: System Demonstrations
  62. The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  63. To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  64. TopiOCQA: Open-domain Conversational Question Answering with Topic Switching — 2022 · Transactions of the Association for Computational Linguistics
  65. Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  66. Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  67. VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  68. VALUE: Understanding Dialect Disparity in NLU — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  69. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation — 2022 · arXiv:2201.05955
  70. Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  71. AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  72. Adv-OLM: Generating Textual Adversaries via OLM — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  73. Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models — 2021 · arXiv:2111.02840
  74. Adversarial Self-Supervised Learning for Out-of-Domain Detection — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  75. Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  76. Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  77. Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  78. 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
  79. Benchmarking Robustness of Machine Reading Comprehension Models — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  80. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  81. Can NLI Models Verify QA Systems' Predictions? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  82. Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap — 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering
  83. Can We Improve Model Robustness through Secondary Attribute Counterfactuals? — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  84. Changing the World by Changing the 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)
  85. Competency Problems: On Finding and Removing Artifacts in Language Data — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  86. Concealed Data Poisoning Attacks on NLP Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  87. Connecting Attributions and QA Model Behavior on Realistic Counterfactuals — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  88. Contextualized Perturbation for Textual Adversarial Attack — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  89. Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  90. Coreference Reasoning in Machine Reading Comprehension — 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)
  91. Crafting Adversarial Examples for Neural Machine Translation — 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)
  92. Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble — 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)
  93. Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  94. Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  95. Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  96. Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning 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)
  97. Don''t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  98. DynaSent: A Dynamic Benchmark for Sentiment Analysis — 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)
  99. Dynabench: Rethinking Benchmarking in NLP — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  100. Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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