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Who cites «A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference»

2,320 papers of our library cite it (of the 149,439 whose bibliographies we read) · 448 with a page here, the most cited first · page 3 of 5 · 201–300 · ← back to «A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference»

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  1. From Arguments to Key Points: Towards Automatic Argument SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Bar-Haim, Lilach Eden, Roni Friedman, et al.2020 · 144 citations
  2. Rethinking embedding coupling in pre-trained language modelsarXiv:2010.12821Hyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
  3. RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation EvaluationConference on Machine Translation: Shared Task PapersHiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi2018 · 141 citations
  4. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsarXiv:2212.08037Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 138 citations
  5. FaithDial: A Faithful Benchmark for Information-Seeking DialogueTransactions of the Association for Computational Linguistics (TACL)Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.2022 · 138 citations
  6. 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
  7. AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.2022 · 135 citations
  8. UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 135 citations
  9. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  10. Few-Shot Self-Rationalization with Natural Language PromptsFindings of the Association for Computational LinguisticsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
  11. DisSent: Learning Sentence Representations from Explicit Discourse RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Allen Nie, Erin Bennett, Noah Goodman2019 · 134 citations
  12. 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
  13. Generalization in NLI: Ways (Not) To Go Beyond Simple HeuristicsWorkshop on Insights from Negative Results in NLPPrajjwal Bhargava, Aleksandr Drozd, Anna Rogers2021 · 131 citations
  14. Deep Enhanced Representation for Implicit Discourse Relation RecognitionInternational Conference on Computational Linguistics (COLING)Hongxiao Bai, Hai Zhao2018 · 131 citations
  15. An Analysis of Natural Language Inference Benchmarks through the Lens of NegationMd Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, et al.2020 · 130 citations
  16. Zero-shot Event Extraction via Transfer Learning: Challenges and InsightsAnnual Meeting of the Association for Computational Linguistics (ACL)Qing Lyu, Hongming Zhang, Elior Sulem, et al.2021 · 128 citations
  17. 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
  18. Better Rewards Yield Better Summaries: Learning to Summarise Without ReferencesConference on Empirical Methods in Natural Language Processing (EMNLP)Florian Böhm, Yang Gao, Christian M. Meyer, et al.2019 · 127 citations
  19. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 123 citations
  20. 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
  21. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 122 citations
  22. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations
  23. Pretraining Language Models with Human PreferencesarXiv:2302.08582Tomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 121 citations
  24. DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceFindings of the Association for Computational LinguisticsWenpeng Yin, Dragomir Radev, Caiming Xiong2021 · 121 citations
  25. Analyzing Compositionality-Sensitivity of NLI ModelsProceedings of the AAAI Conference on Artificial IntelligenceYixin Nie, Yicheng Wang, Mohit Bansal2018 · 121 citations
  26. Logical Fallacy DetectionFindings of the Association for Computational LinguisticsZhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.2022 · 119 citations
  27. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsFindings of the Association for Computational LinguisticsKai Zhang, Bernal Jimenez Gutierrez, Yu Su2023 · 118 citations
  28. MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsFindings of the Association for Computational LinguisticsZhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.2022 · 115 citations
  29. 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
  30. Learning from Task DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP)Orion Weller, Nicholas Lourie, Matt Gardner, et al.2020 · 112 citations
  31. 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
  32. 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
  33. Uncertain Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.2020 · 107 citations
  34. 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
  35. Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic SimilarityComputational LinguisticsIvan Vulić, Simon Baker, Edoardo Maria Ponti, et al.2020 · 106 citations
  36. Tokenizer Choice For LLM Training: Negligible or Crucial?Findings of the Association for Computational LinguisticsMehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 104 citations
  37. Investigating Reasons for Disagreement in Natural Language InferenceTransactions of the Association for Computational Linguistics (TACL)Nan-Jiang Jiang, Marie-Catherine de Marneffe2022 · 104 citations
  38. AnglE-optimized Text EmbeddingsarXiv:2309.12871Xianming Li, Jing Li2023 · 103 citations
  39. 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
  40. 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
  41. Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkTransactions of the Association for Computational Linguistics (TACL)Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.2022 · 100 citations
  42. 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
  43. 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
  44. Probing Across Time: What Does RoBERTa Know and When?Findings of the Association for Computational LinguisticsLeo Z. Liu, Yizhong Wang, Jungo Kasai, et al.2021 · 96 citations
  45. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  46. JGLUE: Japanese General Language Understanding EvaluationLanguage Resources and Evaluation Conference (LREC)Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata2022 · 90 citations
  47. 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
  48. 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
  49. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual TransferConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.2024 · 86 citations
  50. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 86 citations
  51. Diagnosing the First-Order Logical Reasoning Ability Through LogicNLIConference on Empirical Methods in Natural Language Processing (EMNLP)Jidong Tian, Yitian Li, Wenqing Chen, et al.2021 · 86 citations
  52. 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
  53. Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.2022 · 85 citations
  54. Generating Benchmarks for Factuality Evaluation of Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Dor Muhlgay, Ori Ram, Inbal Magar, et al.2024 · 81 citations
  55. 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
  56. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
  57. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 74 citations
  58. 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
  59. "I'd rather just go to bed": Understanding Indirect AnswersAnnie Louis, Dan Roth, Filip Radlinski2020 · 72 citations
  60. 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
  61. 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
  62. 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
  63. Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
  64. IMPLI: Investigating NLI Models' Performance on Figurative LanguageKevin Stowe, Prasetya Utama, Iryna Gurevych2022 · 68 citations
  65. CREPE: Open-Domain Question Answering with False PresuppositionsXinyan Yu, Sewon Min, Luke Zettlemoyer, et al.2023 · 66 citations
  66. 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
  67. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  68. Figurative Language in Recognizing Textual EntailmentFindings of the Association for Computational LinguisticsTuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, et al.2021 · 63 citations
  69. Which Linguist Invented the Lightbulb? Presupposition Verification for Question-AnsweringNajoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.2021 · 63 citations
  70. How well do NLI models capture verb veridicality?Alexis Ross, Ellie Pavlick2019 · 61 citations
  71. Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020 · 59 citations
  72. SuperCLUE: A Comprehensive Chinese Large Language Model BenchmarkarXiv:2307.15020Liang Xu, Anqi Li, Lei Zhu, et al.2023 · 57 citations
  73. 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
  74. 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
  75. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
  76. FewCLUE: A Chinese Few-shot Learning Evaluation BenchmarkarXiv:2107.07498Liang Xu, Xiaojing Lu, Chenyang Yuan, et al.2021 · 54 citations
  77. Large Language Models are In-Context Semantic Reasoners rather than Symbolic ReasonersarXiv:2305.14825Xiaojuan Tang, Zilong Zheng, Jiaqi Li, et al.2023 · 52 citations
  78. 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
  79. ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Yixin Nie, Mohit Bansal2020 · 51 citations
  80. 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
  81. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  82. ALUE: Arabic Language Understanding EvaluationArabic Natural Language Processing Workshop (WANLP)Haitham Seelawi, Ibraheem Tuffaha, Mahmoud Gzawi, et al.2021 · 48 citations
  83. Understanding Catastrophic Forgetting in Language Models via Implicit InferencearXiv:2309.10105Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan2023 · 45 citations
  84. Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
  85. SciNLI: A Corpus for Natural Language Inference on Scientific TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mobashir Sadat, Cornelia Caragea2022 · 43 citations
  86. AmbiFC: Fact-Checking Ambiguous Claims with EvidenceTransactions of the Association for Computational Linguistics (TACL)Max Glockner, Ieva Staliūnaitė, James Thorne, et al.2024 · 42 citations
  87. LUQ: Long-text Uncertainty Quantification for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Caiqi Zhang, Fangyu Liu, Marco Basaldella, et al.2024 · 42 citations
  88. Goal Driven Discovery of Distributional Differences via Language DescriptionsarXiv:2302.14233Ruiqi Zhong, Peter Zhang, Steve Li, et al.2023 · 42 citations
  89. EPIC: Multi-Perspective Annotation of a Corpus of IronyAnnual Meeting of the Association for Computational Linguistics (ACL)Simona Frenda, Alessandro Pedrani, Valerio Basile, et al.2023 · 41 citations
  90. 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
  91. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 citations
  92. 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
  93. 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
  94. Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified SentencesarXiv:1810.13033Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts2018 · 37 citations
  95. Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningFindings of the Association for Computational LinguisticsXiang Zhou, Yixin Nie, Mohit Bansal2022 · 36 citations
  96. LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsComputational LinguisticsGözde Gül Şahin, Clara Vania, Ilia Kuznetsov, et al.2020 · 35 citations
  97. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations
  98. Compositional Evaluation on Japanese Textual Entailment and SimilarityTransactions of the Association for Computational Linguistics (TACL)Hitomi Yanaka, Koji Mineshima2022 · 33 citations
  99. Interpretable Unified Language CheckingarXiv:2304.03728Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, et al.2023 · 32 citations
  100. OpenStance: Real-world Zero-shot Stance DetectionConference on Computational Natural Language Learning (CoNLL)Hanzi Xu, Slobodan Vucetic, Wenpeng Yin2022 · 32 citations

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