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

202 papers of our library cite it (of the 140,884 whose bibliographies we read) · 34 with a page here, the most cited first · ← the paper

  1. Multi-Task Deep Neural Networks for Natural Language UnderstandingXiaodong Liu, Pengcheng He, Weizhu Chen, et al.2019 · 1,501 citations
  2. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsChristopher Clark, Kenton Lee, Ming-Wei Chang, et al.2019 · 1,299 citations
  3. A Survey of Data Augmentation Approaches for NLPSteven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 935 citations
  4. BERT-ATTACK: Adversarial Attack Against BERT Using BERTLinyang Li, Ruotian Ma, Qipeng Guo, et al.2020 · 840 citations
  5. Analysis Methods in Neural Language Processing: A SurveyYonatan Belinkov, James Glass2019 · 735 citations
  6. e-SNLI: Natural Language Inference with Natural Language ExplanationsOana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.2018 · 612 citations
  7. PAWS: Paraphrase Adversaries from Word ScramblingYuan Zhang, Jason Baldridge, Luheng He2019 · 584 citations
  8. Neural Text Summarization: A Critical EvaluationWojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019 · 555 citations
  9. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 520 citations
  10. Experience Grounds LanguageYonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 429 citations
  11. Combating Adversarial Misspellings with Robust Word RecognitionDanish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 388 citations
  12. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 361 citations
  13. Word-level Textual Adversarial Attacking as Combinatorial OptimizationYuan Zang, Fanchao Qi, Chenghao Yang, et al.2020 · 338 citations
  14. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationAlisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 312 citations
  15. PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase IdentificationYinfei Yang, Yuan Zhang, Chris Tar, et al.2019 · 283 citations
  16. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsTongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 271 citations
  17. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualHe He, Sheng Zha, Haohan Wang2019 · 254 citations
  18. HateCheck: Functional Tests for Hate Speech Detection ModelsPaul Röttger, Bertie Vidgen, Dong Nguyen, et al.2021 · 202 citations
  19. Collecting Diverse Natural Language Inference Problems for Sentence Representation EvaluationAdam Poliak, Aparajita Haldar, Rachel Rudinger, et al.2018 · 190 citations
  20. Translation Artifacts in Cross-lingual Transfer LearningMikel Artetxe, Gorka Labaka, Eneko Agirre2020 · 175 citations
  21. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
  22. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesShane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 134 citations
  23. FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
  24. An Analysis of Natural Language Inference Benchmarks through the Lens of NegationMd Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, et al.2020 · 130 citations
  25. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language InferenceAbhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.2019 · 122 citations
  26. Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceYonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 121 citations
  27. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 112 citations
  28. Probing Natural Language Inference Models through Semantic FragmentsKyle Richardson, Hai Hu, Lawrence S. Moss, et al.2019 · 102 citations
  29. BabyBERTa: Learning More Grammar With Small-Scale Child-Directed LanguagePhilip A. Huebner, Elior Sulem, Fisher Cynthia, et al.2021 · 91 citations
  30. Mining Discourse Markers for Unsupervised Sentence Representation LearningDamien Sileo, Tim Van De Cruys, Camille Pradel, et al.2019 · 83 citations
  31. SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language InferenceMartin Schmitt, Hinrich Schütze2019 · 28 citations
  32. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?Neha Srikanth, Marine Carpuat, Rachel Rudinger2024 · 10 citations
  33. A guide to the dataset explosion in QA, NLI, and commonsense reasoningAnna Rogers, Anna Rumshisky2020 · 4 citations
  34. MultiCoS: A Multilingual Dataset of Connective Semantics with Context–Sentence CompatibilityAnne Mucha, Ciyang Qing, Wataru Uegaki2026

168 more papers of our library cite it; they have no page here yet.

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