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Who cites «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference»

704 papers of our library cite it (of the 141,840 whose bibliographies we read) · 105 with a page here, the most cited first · page 1 of 2 · 1–100 · ← back to «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference»

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  1. Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 13,703 citations
  2. Language Models as Knowledge Bases?Conference on Empirical Methods in Natural Language Processing (EMNLP)Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 2,992 citations
  3. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,190 citations
  4. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
  5. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
  6. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  7. Are NLP Models really able to Solve Simple Math Word Problems?Arkil Patel, Satwik Bhattamishra, Navin Goyal2021 · 883 citations
  8. A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
  9. 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 · 602 citations
  10. Inherent Disagreements in Human Textual InferencesEllie Pavlick, Tom Kwiatkowski2019 · 451 citations
  11. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 314 citations
  12. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
  13. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
  14. Measuring and Reducing Gendered Correlations in Pre-trained ModelsarXiv:2010.06032Kellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 253 citations
  15. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 243 citations
  16. Prompting GPT-3 To Be ReliablearXiv:2210.09150Chenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 207 citations
  17. Towards Faithful Model Explanation in NLP: A SurveyComputational LinguisticsQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 195 citations
  18. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
  19. OCNLI: Original Chinese Natural Language InferencearXiv:2010.05444Hai Hu, Kyle Richardson, Liang Xu, et al.2020 · 147 citations
  20. Exploring Length Generalization in Large Language ModelsarXiv:2207.04901Cem Anil, Yuhuai Wu, Anders Andreassen, et al.2022 · 138 citations
  21. A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
  22. UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 132 citations
  23. IMPLI: Investigating NLI Models' Performance on Figurative LanguageKevin Stowe, Prasetya Utama, Iryna Gurevych2022 · 68 citations
  24. VALUE: Understanding Dialect Disparity in NLUCaleb Ziems, Jiaao Chen, Camille Harris, et al.2022 · 65 citations
  25. How well do NLI models capture verb veridicality?Alexis Ross, Ellie Pavlick2019 · 61 citations
  26. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 citations
  27. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsarXiv:2005.14709Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
  28. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language ModelsProceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLPDojun Park, Jiwoo Lee, Seohyun Park, et al.2024 · 17 citations
  29. Adversarial Analysis of Natural Language Inference SystemsarXiv:1912.03441Tiffany Chien, Jugal Kalita2019 · 15 citations
  30. Combining Event Semantics and Degree Semantics for Natural Language InferenceIzumi Haruta, Koji Mineshima, Daisuke Bekki2020 · 12 citations
  31. Decomposing Natural Logic Inferences for Neural NLIBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJulia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.2022 · 8 citations
  32. A guide to the dataset explosion in QA, NLI, and commonsense reasoningAnna Rogers, Anna Rumshisky2020 · 4 citations

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