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Who cites «Breaking NLI Systems with Sentences that Require Simple Lexical Inferences»

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

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  1. MultiCoS: A Multilingual Dataset of Connective Semantics with Context–Sentence Compatibility — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  2. Matina: A Large-Scale 73B Token Persian Text Corpus — 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)
  3. 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)
  4. Benchmark Transparency: Measuring the Impact of Data on Evaluation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  5. Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. Generating Benchmarks for Factuality Evaluation of Language Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  8. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? — 2024 · Transactions of the Association for Computational Linguistics
  9. LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  10. Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  11. Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  15. Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  16. A Multilingual Evaluation of NER Robustness to Adversarial Inputs — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
  17. A Simple, Yet Effective Approach to Finding Biases in Code Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  18. CREST: A Joint Framework for Rationalization and Counterfactual Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  19. Curing the SICK and Other NLI Maladies — 2023 · Computational Linguistics
  20. DISCO: Distilling Counterfactuals with Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  21. Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  23. Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  24. Improving the robustness of NLI models with minimax training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  25. SETI: Systematicity Evaluation of Textual Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  26. A Report on the FigLang 2022 Shared Task on Understanding Figurative Language — 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
  27. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  28. Analyzing Dynamic Adversarial Training Data in the Limit — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  29. AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  30. CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  31. Can Transformers Reason in Fragments of Natural Language? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  32. Compositional Evaluation on Japanese Textual Entailment and Similarity — 2022 · Transactions of the Association for Computational Linguistics
  33. 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
  34. Enhancing Tabular Reasoning with Pattern Exploiting Training — 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 1: Long Papers)
  35. Entailment Relation Aware Paraphrase Generation — 2022 · arXiv:2203.10483
  36. Exposing the Limits of Video-Text Models through Contrast Sets — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  37. FLUTE: Figurative Language Understanding through Textual Explanations — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  38. Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  39. InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  40. Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  41. Language Technologies for Low Resource Languages: Sociolinguistic and Multilingual Insights — 2022 · Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages
  42. 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
  43. On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  44. Paraphrasing, textual entailment, and semantic similarity above word level — 2022 · arXiv:2208.05387
  45. Realistic Data Augmentation Framework for Enhancing Tabular Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  46. Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. Semantically Distributed Robust Optimization for Vision-and-Language Inference — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  48. Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  49. Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  50. TestAug: A Framework for Augmenting Capability-based NLP Tests — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  51. Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  52. Unsupervised Natural Language Inference Using PHL Triplet Generation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  53. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation — 2022 · arXiv:2201.05955
  54. A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist — 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)
  55. A Logic-Based Framework for Natural Language Inference in Dutch — 2021 · arXiv:2110.03323
  56. A Survey of Data Augmentation Approaches for NLP — 2021 · arXiv:2105.03075
  57. Alignment Rationale for Natural Language Inference — 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)
  58. Annotation Difficulties in Natural Language Inference — 2021 · Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology
  59. Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  60. Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  61. Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  62. BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  63. Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  64. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  65. 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)
  66. Explaining Contextualization in Language Models using Visual Analytics — 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 Transitivity in Neural NLI Models through Veridicality — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  68. FANCY: A Diagnostic Data-Set for NLI Models — 2021 · Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021)
  69. Figurative Language in Recognizing Textual Entailment — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  70. Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  71. HateCheck: Functional Tests for Hate Speech Detection 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)
  72. How Fast can BERT Learn Simple Natural Language Inference? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  73. Increasing Robustness to Spurious Correlations using Forgettable Examples — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  74. IndoNLI: A Natural Language Inference Dataset for Indonesian — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  75. Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  76. Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  77. Language Models for Lexical Inference in Context — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  78. NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance — 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
  79. NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  80. NoiseQA: Challenge Set Evaluation for User-Centric Question Answering — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  81. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving 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. Probing Pre-Trained Language Models for Disease Knowledge — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  83. Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  84. Robustness Gym: Unifying the NLP Evaluation Landscape — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
  85. Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
  86. SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  87. TabPert : An Effective Platform for Tabular Perturbation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  88. Understanding Model Robustness to User-generated Noisy Texts — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
  89. A guide to the dataset explosion in QA, NLI, and commonsense reasoning — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts
  90. Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  91. Adversarial NLI: A New Benchmark for Natural Language Understanding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  92. An Analysis of Natural Language Inference Benchmarks through the Lens of Negation — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  93. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
  94. An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models — 2020
  95. 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
  96. BERT-ATTACK: Adversarial Attack Against BERT Using BERT — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  97. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models — 2020 · arXiv:2005.14709
  98. ConjNLI: Natural Language Inference Over Conjunctive Sentences — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  99. ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  100. DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

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