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Who cites «A large annotated corpus for learning natural language inference»

2008 papers of our library cite it (of the 149,439 whose bibliographies we read) · 427 with a page here, the most cited first · page 3 of 5 · 201–300 · ← back to «A large annotated corpus for learning natural language inference»

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  1. UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 135 citations
  2. Interpretable Neural Predictions with Differentiable Binary VariablesAnnual Meeting of the Association for Computational Linguistics (ACL)Jasmijn Bastings, Wilker Aziz, Ivan Titov2019 · 135 citations
  3. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  4. Simple synthetic data reduces sycophancy in large language modelsarXiv:2308.03958Jerry Wei, Da Huang, Yifeng Lu, et al.2023 · 134 citations
  5. DisSent: Learning Sentence Representations from Explicit Discourse RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Allen Nie, Erin Bennett, Noah Goodman2019 · 134 citations
  6. What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
  7. Deep Enhanced Representation for Implicit Discourse Relation RecognitionInternational Conference on Computational Linguistics (COLING)Hongxiao Bai, Hai Zhao2018 · 131 citations
  8. Natural Language Reasoning, A SurveyACM Computing SurveysFei Yu, Hongbo Zhang, Prayag Tiwari, et al.2023 · 130 citations
  9. An Analysis of Natural Language Inference Benchmarks through the Lens of NegationMd Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, et al.2020 · 130 citations
  10. The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence RepresentationsWorkshop on Evaluating Vector Space Representations for NLPNikita Nangia, Adina Williams, Angeliki Lazaridou, et al.2017 · 128 citations
  11. Nomic Embed: Training a Reproducible Long Context Text EmbedderarXiv:2402.01613Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 126 citations
  12. Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?Findings of the Association for Computational LinguisticsPeter Hase, Shiyue Zhang, Harry Xie, et al.2020 · 126 citations
  13. Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual EntailmentLanguage Resources and Evaluation Conference (LREC)Masatoshi Tsuchiya2018 · 126 citations
  14. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 123 citations
  15. 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
  16. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language InferenceAbhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.2019 · 123 citations
  17. DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceFindings of the Association for Computational LinguisticsWenpeng Yin, Dragomir Radev, Caiming Xiong2021 · 121 citations
  18. Analyzing Compositionality-Sensitivity of NLI ModelsProceedings of the AAAI Conference on Artificial IntelligenceYixin Nie, Yicheng Wang, Mohit Bansal2018 · 121 citations
  19. Sarcasm Analysis Using Conversation ContextComputational LinguisticsDebanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan2018 · 119 citations
  20. MLSUM: The Multilingual Summarization CorpusConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2020 · 115 citations
  21. 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
  22. Reframing Human-AI Collaboration for Generating Free-Text ExplanationsarXiv:2112.08674Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, et al.2021 · 111 citations
  23. What's in the Box? An Analysis of Undesirable Content in the Common Crawl CorpusAnnual Meeting of the Association for Computational Linguistics (ACL)Alexandra Luccioni, Joseph Viviano2021 · 111 citations
  24. 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
  25. We're Afraid Language Models Aren't Modeling AmbiguityConference on Empirical Methods in Natural Language Processing (EMNLP)Alisa Liu, Zhaofeng Wu, Julian Michael, et al.2023 · 110 citations
  26. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation FrameworkAaron Steven White, Pushpendre Rastogi, Kevin Duh, et al.2017 · 110 citations
  27. Uncertain Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.2020 · 107 citations
  28. Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 106 citations
  29. Investigating Reasons for Disagreement in Natural Language InferenceTransactions of the Association for Computational Linguistics (TACL)Nan-Jiang Jiang, Marie-Catherine de Marneffe2022 · 104 citations
  30. AnglE-optimized Text EmbeddingsarXiv:2309.12871Xianming Li, Jing Li2023 · 103 citations
  31. What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task LearningFindings of the Association for Computational LinguisticsJane Pan, Tianyu Gao, Howard Chen, et al.2023 · 102 citations
  32. 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
  33. Certified Robustness to Text Adversarial Attacks by Randomized [MASK]Computational LinguisticsJiehang Zeng, Jianhan Xu, Xiaoqing Zheng, et al.2023 · 101 citations
  34. I like fish, especially dolphins: Addressing Contradictions in Dialogue ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Mary Williamson, Mohit Bansal, et al.2021 · 101 citations
  35. 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
  36. Understanding by Understanding Not: Modeling Negation in Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, et al.2021 · 98 citations
  37. Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit KnowledgearXiv:2006.06609Alon Talmor, Oyvind Tafjord, Peter Clark, et al.2020 · 98 citations
  38. Faithfulness Tests for Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, et al.2023 · 96 citations
  39. 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
  40. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  41. Tailor: Generating and Perturbing Text with Semantic ControlsAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Ross, Tongshuang Wu, Hao Peng, et al.2022 · 93 citations
  42. 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
  43. LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.2023 · 89 citations
  44. First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTConference of the European Chapter of the Association for Computational Linguistics (EACL)Benjamin Muller, Yanai Elazar, Benoît Sagot, et al.2021 · 87 citations
  45. Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Lianhui Qin, Vered Shwartz, Peter West, et al.2020 · 86 citations
  46. R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.2020 · 86 citations
  47. Language models are not naysayers: An analysis of language models on negation benchmarksJoint Conference on Lexical and Computational Semantics (*SEM)Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, et al.2023 · 78 citations
  48. Analyzing Dataset Annotation Quality Management in the WildComputational LinguisticsJan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych2024 · 76 citations
  49. Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long DocumentsarXiv:2310.19923Michael Gunther, Jackmin Ong, Isabelle Mohr, et al.2023 · 75 citations
  50. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 74 citations
  51. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 73 citations
  52. 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
  53. IrokoBench: A New Benchmark for African Languages in the Age of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, et al.2025 · 70 citations
  54. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Roit, Johan Ferret, Lior Shani, et al.2023 · 70 citations
  55. 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
  56. English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer TooConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Jason Phang, Iacer Calixto, Phu Mon Htut, et al.2020 · 70 citations
  57. Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
  58. The Turking Test: Can Language Models Understand Instructions?arXiv:2010.11982Avia Efrat, Omer Levy2020 · 69 citations
  59. IMPLI: Investigating NLI Models' Performance on Figurative LanguageKevin Stowe, Prasetya Utama, Iryna Gurevych2022 · 68 citations
  60. VALUE: Understanding Dialect Disparity in NLUCaleb Ziems, Jiaao Chen, Camille Harris, et al.2022 · 67 citations
  61. ParsiNLU: A Suite of Language Understanding Challenges for PersianTransactions of the Association for Computational Linguistics (TACL)Daniel Khashabi, Arman Cohan, Siamak Shakeri, et al.2021 · 65 citations
  62. Figurative Language in Recognizing Textual EntailmentFindings of the Association for Computational LinguisticsTuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, et al.2021 · 63 citations
  63. Culturally Aware Natural Language InferenceFindings of the Association for Computational LinguisticsJing Huang, Diyi Yang2023 · 61 citations
  64. How well do NLI models capture verb veridicality?Alexis Ross, Ellie Pavlick2019 · 61 citations
  65. 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
  66. Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020 · 59 citations
  67. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
  68. Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on RobustnessConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ivan Sanchez, Jeff Mitchell, Sebastian Riedel2018 · 56 citations
  69. A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Alon Jacovi, Yonatan Bitton, Bernd Bohnet, et al.2024 · 54 citations
  70. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
  71. Harnessing the linguistic signal to predict scalar inferencesSebastian Schuster, Yuxing Chen, Judith Degen2020 · 54 citations
  72. Large Language Models are In-Context Semantic Reasoners rather than Symbolic ReasonersarXiv:2305.14825Xiaojuan Tang, Zilong Zheng, Jiaqi Li, et al.2023 · 52 citations
  73. VariErr NLI: Separating Annotation Error from Human Label VariationAnnual Meeting of the Association for Computational Linguistics (ACL)Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.2024 · 51 citations
  74. ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Yixin Nie, Mohit Bansal2020 · 51 citations
  75. Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataWorkshop on Insights from Negative Results in NLPWilliam Huang, Haokun Liu, Samuel R. Bowman2020 · 51 citations
  76. Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language ModelsComputational LinguisticsJanosch Haber, Massimo Poesio2024 · 44 citations
  77. SciNLI: A Corpus for Natural Language Inference on Scientific TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mobashir Sadat, Cornelia Caragea2022 · 43 citations
  78. Syntax-augmented Multilingual BERT for Cross-lingual TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Wasi Ahmad, Haoran Li, Kai-Wei Chang, et al.2021 · 42 citations
  79. How Can Self-Attention Networks Recognize Dyck-n Languages?Findings of the Association for Computational LinguisticsJavid Ebrahimi, Dhruv Gelda, Wei Zhang2020 · 41 citations
  80. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
  81. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 citations
  82. Natural Language Inference from Multiple PremisesInternational Joint Conference on Natural Language Processing (IJCNLP)Alice Lai, Yonatan Bisk, Julia Hockenmaier2017 · 39 citations
  83. Identifying inherent disagreement in natural language inferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xinliang Frederick Zhang, Marie-Catherine de Marneffe2021 · 38 citations
  84. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceConference on Computational Natural Language Learning (CoNLL)Tianyu Liu, Xin Zheng, Xiaoan Ding, et al.2020 · 37 citations
  85. Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified SentencesarXiv:1810.13033Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts2018 · 37 citations
  86. Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningFindings of the Association for Computational LinguisticsXiang Zhou, Yixin Nie, Mohit Bansal2022 · 36 citations
  87. LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsComputational LinguisticsGözde Gül Şahin, Clara Vania, Ilia Kuznetsov, et al.2020 · 35 citations
  88. Compositional Evaluation on Japanese Textual Entailment and SimilarityTransactions of the Association for Computational Linguistics (TACL)Hitomi Yanaka, Koji Mineshima2022 · 33 citations
  89. RST Discourse Parsing with Second-Stage EDU-Level Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Nan Yu, Meishan Zhang, Guohong Fu, et al.2022 · 32 citations
  90. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment RecognitionFindings of the Association for Computational LinguisticsSihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.2023 · 31 citations
  91. Evaluating Document Coherence ModelingTransactions of the Association for Computational Linguistics (TACL)Aili Shen, Meladel Mistica, Bahar Salehi, et al.2021 · 30 citations
  92. MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Christine Herlihy, Rachel Rudinger2021 · 30 citations
  93. TED-Q: TED Talks and the Questions they EvokeLanguage Resources and Evaluation Conference (LREC)Matthijs Westera, Laia Mayol, Hannah Rohde2020 · 29 citations
  94. KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Qianglong Chen, Feng Ji, Xiangji Zeng, et al.2021 · 28 citations
  95. HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language InferenceLanguage Resources and Evaluation Conference (LREC)Tianyu Liu, Xin Zheng, Baobao Chang, et al.2020 · 28 citations
  96. SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language InferenceMartin Schmitt, Hinrich Schütze2019 · 28 citations
  97. Logical Reasoning over Natural Language as Knowledge Representation: A SurveyarXiv:2303.12023Zonglin Yang, Xinya Du, Rui Mao, et al.2023 · 27 citations
  98. Exploring Transitivity in Neural NLI Models through VeridicalityConference of the European Chapter of the Association for Computational Linguistics (EACL)Hitomi Yanaka, Koji Mineshima, Kentaro Inui2021 · 27 citations
  99. New Protocols and Negative Results for Textual Entailment Data CollectionConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, et al.2020 · 27 citations
  100. Understanding Retrieval Augmentation for Long-Form Question AnsweringarXiv:2310.12150Hung-Ting Chen, Fangyuan Xu, Shane Arora, et al.2023 · 24 citations

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