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721 papers of our library cite it (of the 149,439 whose bibliographies we read) · 168 with a page here, the most cited first · page 1 of 2 · 1–100 · ← back to «Annotation Artifacts in Natural Language Inference Data»

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  1. Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
  2. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,276 citations
  3. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
  4. QLoRA: Efficient Finetuning of Quantized LLMsConference on Neural Information Processing Systems (NeurIPS)Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al.2023 · 2,929 citations
  5. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning ChallengearXiv:1803.05457Peter Clark, Isaac Cowhey, Oren Etzioni, et al.2018 · 2,394 citations
  6. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,662 citations
  7. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.2019 · 1,330 citations
  8. Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Adina Williams, Emily Dinan, et al.2020 · 1,296 citations
  9. PIQA: Reasoning about Physical Commonsense in Natural LanguageProceedings of the AAAI Conference on Artificial IntelligenceYonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.2019 · 1,264 citations
  10. On the Cross-lingual Transferability of Monolingual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Mikel Artetxe, Sebastian Ruder, Dani Yogatama2020 · 1,179 citations
  11. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsDheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.2019 · 960 citations
  12. Are NLP Models really able to Solve Simple Math Word Problems?Arkil Patel, Satwik Bhattamishra, Navin Goyal2021 · 890 citations
  13. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 740 citations
  14. Fact or Fiction: Verifying Scientific ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Shanchuan Lin, Kyle Lo, et al.2020 · 709 citations
  15. Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsarXiv:1908.08962Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019 · 678 citations
  16. A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 647 citations
  17. e-SNLI: Natural Language Inference with Natural Language ExplanationsarXiv:1812.01193Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.2018 · 622 citations
  18. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelarXiv:2201.11990Shaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 615 citations
  19. Neural Text Summarization: A Critical EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019 · 559 citations
  20. XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual GeneralizationarXiv:2003.11080Junjie Hu, Sebastian Ruder, Aditya Siddhant, et al.2020 · 558 citations
  21. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019 · 544 citations
  22. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 531 citations
  23. Breaking NLI Systems with Sentences that Require Simple Lexical InferencesMax Glockner, Vered Shwartz, Yoav Goldberg2018 · 525 citations
  24. ToTTo: A Controlled Table-To-Text Generation DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.2020 · 482 citations
  25. Pretrained Transformers Improve Out-of-Distribution RobustnessAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.2020 · 452 citations
  26. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
  27. GPT-NER: Named Entity Recognition via Large Language ModelsFindings of the Association for Computational LinguisticsShuhe Wang, Xiaofei Sun, Xiaoya Li, et al.2025 · 436 citations
  28. Dialogue Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Welleck, Jason Weston, Arthur Szlam, et al.2019 · 385 citations
  29. Datasets: A Community Library for Natural Language ProcessingarXiv:2109.02846Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.2021 · 368 citations
  30. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Thomas Scialom, Omer Levy, et al.2023 · 366 citations
  31. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 364 citations
  32. Lessons from Natural Language Inference in the Clinical DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Alexey Romanov, Chaitanya Shivade2018 · 350 citations
  33. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
  34. Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 309 citations
  35. Towards Debiasing Fact Verification ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.2019 · 301 citations
  36. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleConference on Empirical Methods in Natural Language Processing (EMNLP)Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 297 citations
  37. Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tal Schuster, Adam Fisch, Regina Barzilay2021 · 290 citations
  38. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
  39. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 277 citations
  40. How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Annual Meeting of the Association for Computational Linguistics (ACL)Tal Linzen2020 · 263 citations
  41. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualWorkshop on Deep Learning Approaches for Low-Resource NLPHe He, Sheng Zha, Haohan Wang2019 · 260 citations
  42. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential ReasoningPradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al.2019 · 259 citations
  43. SocialIQA: Commonsense Reasoning about Social InteractionsarXiv:1904.09728Maarten Sap, Hannah Rashkin, Derek Chen, et al.2019 · 259 citations
  44. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  45. Hurdles to Progress in Long-form Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 233 citations
  46. What Happens To BERT Embeddings During Fine-tuning?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPAmil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.2020 · 220 citations
  47. Prompting GPT-3 To Be ReliablearXiv:2210.09150Chenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 210 citations
  48. Evaluating Factuality in Generation with Dependency-level EntailmentFindings of the Association for Computational LinguisticsTanya Goyal, Greg Durrett2020 · 205 citations
  49. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 198 citations
  50. The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
  51. Collecting Diverse Natural Language Inference Problems for Sentence Representation EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.2018 · 193 citations
  52. Challenges in Automated Debiasing for Toxic Language DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.2021 · 191 citations
  53. Explaining Black Box Predictions and Unveiling Data Artifacts through Influence FunctionsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov2020 · 187 citations
  54. AllenNLP Interpret: A Framework for Explaining Predictions of NLP ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Wallace, Jens Tuyls, Junlin Wang, et al.2019 · 182 citations
  55. What Makes Reading Comprehension Questions Easier?Conference on Empirical Methods in Natural Language Processing (EMNLP)Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.2018 · 179 citations
  56. Translation Artifacts in Cross-lingual Transfer LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mikel Artetxe, Gorka Labaka, Eneko Agirre2020 · 176 citations
  57. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 166 citations
  58. Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningFindings of the Association for Computational LinguisticsYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 165 citations
  59. AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.2022 · 164 citations
  60. Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisComputational LinguisticsSaif M. Mohammad2022 · 164 citations
  61. Question Answering for Privacy Policies: Combining Computational and Legal PerspectivesConference on Empirical Methods in Natural Language Processing (EMNLP)Abhilasha Ravichander, Alan W Black, Shomir Wilson, et al.2019 · 163 citations
  62. Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL)Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych2020 · 159 citations
  63. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  64. INFOTABS: Inference on Tables as Semi-structured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, et al.2020 · 150 citations
  65. Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
  66. OCNLI: Original Chinese Natural Language InferencearXiv:2010.05444Hai Hu, Kyle Richardson, Liang Xu, et al.2020 · 148 citations
  67. SCOTT: Self-Consistent Chain-of-Thought DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Peifeng Wang, Zhengyang Wang, Zheng Li, et al.2023 · 146 citations
  68. Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy2021 · 144 citations
  69. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsTransactions of the Association for Computational Linguistics (TACL)Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.2021 · 141 citations
  70. Inoculation by Fine-Tuning: A Method for Analyzing Challenge DatasetsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Roy Schwartz, Noah A. Smith2019 · 138 citations
  71. UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 135 citations
  72. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  73. Generalization in NLI: Ways (Not) To Go Beyond Simple HeuristicsWorkshop on Insights from Negative Results in NLPPrajjwal Bhargava, Aleksandr Drozd, Anna Rogers2021 · 131 citations
  74. An Analysis of Natural Language Inference Benchmarks through the Lens of NegationMd Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, et al.2020 · 130 citations
  75. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 123 citations
  76. Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 123 citations
  77. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language InferenceAbhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.2019 · 123 citations
  78. Analyzing Compositionality-Sensitivity of NLI ModelsProceedings of the AAAI Conference on Artificial IntelligenceYixin Nie, Yicheng Wang, Mohit Bansal2018 · 121 citations
  79. Testing the Ability of Language Models to Interpret Figurative LanguageConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Emmy Liu, Chenxuan Cui, Kenneth Zheng, et al.2022 · 114 citations
  80. WiCE: Real-World Entailment for Claims in WikipediaConference on Empirical Methods in Natural Language Processing (EMNLP)Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, et al.2023 · 113 citations
  81. Learning from Task DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP)Orion Weller, Nicholas Lourie, Matt Gardner, et al.2020 · 112 citations
  82. End-to-End Bias Mitigation by Modelling Biases in CorporaAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson2020 · 111 citations
  83. Uncertain Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.2020 · 107 citations
  84. Probing Natural Language Inference Models through Semantic FragmentsProceedings of the AAAI Conference on Artificial IntelligenceKyle Richardson, Hai Hu, Lawrence S. Moss, et al.2019 · 102 citations
  85. A Long Way to Go: Investigating Length Correlations in RLHFarXiv:2310.03716Prasann Singhal, Tanya Goyal, Jiacheng Xu, et al.2023 · 99 citations
  86. Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxiang Wu, Matt Gardner, Pontus Stenetorp, et al.2022 · 99 citations
  87. On Adversarial Removal of Hypothesis-only Bias in Natural Language InferenceJoint Conference on Lexical and Computational Semantics (*SEM)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 96 citations
  88. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 90 citations
  89. CODAH: An Adversarially-Authored Question Answering Dataset for Common SenseWorkshop on Evaluating Vector Space Representations for NLPMichael Chen, Mike D'Arcy, Alisa Liu, et al.2019 · 90 citations
  90. Mining Discourse Markers for Unsupervised Sentence Representation LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Damien Sileo, Tim Van De Cruys, Camille Pradel, et al.2019 · 83 citations
  91. Are Pretrained Language Models Symbolic Reasoners over Knowledge?Conference on Computational Natural Language Learning (CoNLL)Nora Kassner, Benno Krojer, Hinrich Schütze2020 · 81 citations
  92. Explanation-Based Human Debugging of NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Piyawat Lertvittayakumjorn, Francesca Toni2021 · 77 citations
  93. "I'd rather just go to bed": Understanding Indirect AnswersAnnie Louis, Dan Roth, Filip Radlinski2020 · 72 citations
  94. Evaluating BERT for natural language inference: A case study on the CommitmentBankConference on Empirical Methods in Natural Language Processing (EMNLP)Nanjiang Jiang, Marie-Catherine de Marneffe2019 · 72 citations
  95. Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Joe Stacey, Pasquale Minervini, Haim Dubossarsky, et al.2020 · 70 citations
  96. Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
  97. Posing Fair Generalization Tasks for Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Atticus Geiger, Ignacio Cases, Lauri Karttunen, et al.2019 · 61 citations
  98. What Does My QA Model Know? Devising Controlled Probes Using Expert KnowledgeTransactions of the Association for Computational Linguistics (TACL)Kyle Richardson, Ashish Sabharwal2020 · 58 citations
  99. On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERTJoint Conference on Lexical and Computational Semantics (*SEM)Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, et al.2020 · 55 citations
  100. Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Annual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger2024 · 52 citations

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