Elamur Research
☰
home / papers / Breaking NLI Systems with Sentences that Require… / cited by

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

Pages: 1 · 2 · 3

  1. MultiCoS: A Multilingual Dataset of Connective Semantics with Context–Sentence Compatibility — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  2. DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  3. 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)
  4. Neurosymbolic AI for Natural Language Inference in French : combining LLMs and theorem provers for semantic parsing and natural language reasoning — 2025 · Proceedings of the 16th International Conference on Computational Semantics
  5. Persona-Aware Alignment Framework for Personalized Dialogue Generation — 2025 · Transactions of the Association for Computational Linguistics
  6. Task Calibration: Calibrating Large Language Models on Inference Tasks — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  7. Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. 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)
  9. 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)
  10. 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)
  11. Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  12. External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  13. 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)
  14. 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
  15. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? — 2024 · Transactions of the Association for Computational Linguistics
  16. InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  17. LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  18. Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  19. 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)
  20. OYXOY: A Modern NLP Test Suite for Modern Greek — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  21. 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)
  22. Sentence-Space Metrics (SSM) for the Evaluation of Sentence Comprehension — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  23. 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)
  24. Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  25. 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)
  26. A Multilingual Evaluation of NER Robustness to Adversarial Inputs — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
  27. A Simple, Yet Effective Approach to Finding Biases in Code Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  28. 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)
  29. Curing the SICK and Other NLI Maladies — 2023 · Computational Linguistics
  30. DISCO: Distilling Counterfactuals with Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. 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)
  32. 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
  33. FiRo: Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  35. Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference — 2023 · arXiv:2311.08637
  36. 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)
  37. MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  38. NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  39. On Degrees of Freedom in Defining and Testing Natural Language Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  40. SETI: Systematicity Evaluation of Textual Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  41. SpaceNLI: Evaluating the Consistency of Predicting Inferences In Space — 2023 · Proceedings of the 4th Natural Logic Meets Machine Learning Workshop
  42. A Report on the FigLang 2022 Shared Task on Understanding Figurative Language — 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
  43. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  44. Analyzing Dynamic Adversarial Training Data in the Limit — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  45. AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  46. CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  47. Can Transformers Reason in Fragments of Natural Language? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  48. Compositional Evaluation on Japanese Textual Entailment and Similarity — 2022 · Transactions of the Association for Computational Linguistics
  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. 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)
  51. Entailment Relation Aware Paraphrase Generation — 2022 · arXiv:2203.10483
  52. 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
  53. FLUTE: Figurative Language Understanding through Textual Explanations — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  54. 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)
  55. 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
  56. Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  57. 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
  58. Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  59. 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
  60. Multilingual CheckList: Generation and Evaluation — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
  61. NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  62. NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  63. On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  64. Paraphrasing, textual entailment, and semantic similarity above word level — 2022 · arXiv:2208.05387
  65. Realistic Data Augmentation Framework for Enhancing Tabular Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  66. 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)
  67. Semantically Distributed Robust Optimization for Vision-and-Language Inference — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  68. Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  69. Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  70. TestAug: A Framework for Augmenting Capability-based NLP Tests — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  71. Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  72. Unsupervised Natural Language Inference Using PHL Triplet Generation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  73. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation — 2022 · arXiv:2201.05955
  74. \textitGeneralized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  75. 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)
  76. A Logic-Based Framework for Natural Language Inference in Dutch — 2021 · arXiv:2110.03323
  77. A Survey of Data Augmentation Approaches for NLP — 2021 · arXiv:2105.03075
  78. 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)
  79. Annotation Difficulties in Natural Language Inference — 2021 · Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology
  80. Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  81. 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
  82. Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  83. BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  84. 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
  85. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  86. Continuous Entailment Patterns for Lexical Inference in Context — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  87. 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)
  88. 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)
  89. 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
  90. FANCY: A Diagnostic Data-Set for NLI Models — 2021 · Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021)
  91. Figurative Language in Recognizing Textual Entailment — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  92. 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
  93. 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)
  94. 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
  95. 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
  96. IndoNLI: A Natural Language Inference Dataset for Indonesian — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  97. Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  98. 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
  99. 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
  100. NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance — 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)

Pages: 1 · 2 · 3