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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 4 of 5 · 301–400 · ← back to «A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference»

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  1. 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
  2. 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
  3. Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learningConference on Computational Natural Language Learning (CoNLL)Lucas Weber, Elia Bruni, Dieuwke Hupkes2023 · 29 citations
  4. 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
  5. SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language InferenceMartin Schmitt, Hinrich Schütze2019 · 28 citations
  6. Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Omer Nahum, Nitay Calderon, Orgad Keller, et al.2025 · 27 citations
  7. 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
  8. 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
  9. Sensitivity as a Complexity Measure for Sequence Classification TasksTransactions of the Association for Computational Linguistics (TACL)Michael Hahn, Dan Jurafsky, Richard Futrell2021 · 26 citations
  10. Understanding Retrieval Augmentation for Long-Form Question AnsweringarXiv:2310.12150Hung-Ting Chen, Fangyuan Xu, Shane Arora, et al.2023 · 24 citations
  11. Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal NegationConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Hung Thinh Truong, Yulia Otmakhova, Timothy Baldwin, et al.2022 · 24 citations
  12. 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
  13. ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language UnderstandingarXiv:2010.12148Dongling Xiao, Yu-Kun Li, Han Zhang, et al.2020 · 22 citations
  14. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on PragmaticsNanjiang Jiang, Marie-Catherine de Marneffe2021 · 21 citations
  15. NeoBERT: A Next-Generation BERTarXiv:2502.19587Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.2025 · 20 citations
  16. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  17. Ecologically Valid Explanations for Label Variation in NLIFindings of the Association for Computational LinguisticsNan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe2023 · 19 citations
  18. “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Findings of the Association for Computational LinguisticsBeiduo Chen, Xinpeng Wang, Siyao Peng, et al.2024 · 18 citations
  19. Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like BiasesarXiv:2306.12567Risako Ando, Takanobu Morishita, Hirohiko Abe, et al.2023 · 17 citations
  20. Stress Test Evaluation of Transformer-based Models in Natural Language Understanding TasksLanguage Resources and Evaluation Conference (LREC)Carlos Aspillaga, Andrés Carvallo, Vladimir Araujo2020 · 17 citations
  21. FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Farima Fatahi Bayat, Lechen Zhang, Sheza Munir, et al.2025 · 16 citations
  22. Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual SettingsarXiv:2410.13153Krishno Dey, Prerona Tarannum, Md. Arid Hasan, et al.2024 · 16 citations
  23. English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language PromptsarXiv:2402.03223Patrick Bareiß, Roman Klinger, Jeremy Barnes2024 · 16 citations
  24. When data permutations are pathological: the case of neural natural language inferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Natalie Schluter, Daniel Varab2018 · 16 citations
  25. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?Transactions of the Association for Computational Linguistics (TACL)Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen2025 · 15 citations
  26. Neuron-Level Sequential Editing for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Houcheng Jiang, Junfeng Fang, Tianyu Zhang, et al.2025 · 15 citations
  27. Understanding Figurative Meaning through Explainable Visual EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, et al.2025 · 15 citations
  28. Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
  29. Evaluating Large Language Models for Health-related Queries with PresuppositionsFindings of the Association for Computational LinguisticsNavreet Kaur, Monojit Choudhury, Danish Pruthi2024 · 15 citations
  30. DiPlomat: A Dialogue Dataset for Situated Pragmatic ReasoningConference on Neural Information Processing Systems (NeurIPS)Hengli Li, Song-Chun Zhu, Zilong Zheng2023 · 15 citations
  31. Capture Human Disagreement Distributions by Calibrated Networks for Natural Language InferenceFindings of the Association for Computational LinguisticsYuxia Wang, Minghan Wang, Yimeng Chen, et al.2022 · 15 citations
  32. Curing the SICK and Other NLI MaladiesComputational LinguisticsAikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb, et al.2023 · 14 citations
  33. Natural Language Inference with Mixed EffectsJoint Conference on Lexical and Computational Semantics (*SEM)William Gantt, Benjamin Kane, Aaron Steven White2020 · 14 citations
  34. Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar2022 · 13 citations
  35. Partial-input baselines show that NLI models can ignore context, but they don't.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Neha Srikanth, Rachel Rudinger2022 · 13 citations
  36. Towards the Necessity for Debiasing Natural Language Inference DatasetsLanguage Resources and Evaluation Conference (LREC)Mithun Paul Panenghat, Sandeep Suntwal, Faiz Rafique, et al.2020 · 13 citations
  37. Non-entailed subsequences as a challenge for natural language inferencearXiv:1811.12112R. Thomas McCoy, Tal Linzen2018 · 13 citations
  38. The ICL Consistency TestarXiv:2312.04945Lucas Weber, Elia Bruni, Dieuwke Hupkes2023 · 12 citations
  39. Investigating the Performance of Transformer-Based NLI Models on Presuppositional InferencesInternational Conference on Computational Linguistics (COLING)Jad Kabbara, Jackie Chi Kit Cheung2022 · 12 citations
  40. Combining Event Semantics and Degree Semantics for Natural Language InferenceIzumi Haruta, Koji Mineshima, Daisuke Bekki2020 · 12 citations
  41. Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuzheng Si, Haozhe Zhao, Gang Chen, et al.2025 · 11 citations
  42. Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Liu, Wenya Wang, Hao Sun, et al.2025 · 11 citations
  43. IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.2023 · 11 citations
  44. Disentangling Indirect Answers to Yes-No Questions in Real ConversationsKrishna Sanagavarapu, Jathin Singaraju, Anusha Kakileti, et al.2022 · 11 citations
  45. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?Transactions of the Association for Computational Linguistics (TACL)Neha Srikanth, Marine Carpuat, Rachel Rudinger2024 · 10 citations
  46. Investigating Forgetting in Pre-Trained Representations Through Continual LearningarXiv:2305.05968Yun Luo, Zhen Yang, Xuefeng Bai, et al.2023 · 10 citations
  47. A Generative Approach for Mitigating Structural Biases in Natural Language InferenceJoint Conference on Lexical and Computational Semantics (*SEM)Dimion Asael, Zachary Ziegler, Yonatan Belinkov2022 · 10 citations
  48. How Fast can BERT Learn Simple Natural Language Inference?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Yi-Chung Lin, Keh-Yih Su2021 · 10 citations
  49. A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIFindings of the Association for Computational LinguisticsBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
  50. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific NeuronsInternational Conference on Computational Linguistics (COLING)Yongqi Leng, Deyi Xiong2025 · 9 citations
  51. MSciNLI: A Diverse Benchmark for Scientific Natural Language InferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mobashir Sadat, Cornelia Caragea2024 · 9 citations
  52. PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster OutliersConference of the European Chapter of the Association for Computational Linguistics (EACL)Michael Saxon, Xinyi Wang, Wenda Xu, et al.2023 · 9 citations
  53. ArNLI: Arabic Natural Language Inference for Entailment and Contradiction DetectionarXiv:2209.13953 · (2023) Computer Science, 24(2)Khloud Al Jallad, Nada Ghneim2022 · 9 citations
  54. SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable AdjectivesRashid Nizamani, Sebastian Schuster, Vera Demberg2024 · 8 citations
  55. Understanding and Predicting Human Label Variation in Natural Language Inference through ExplanationarXiv:2304.12443Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe2023 · 8 citations
  56. 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
  57. Enhancing Systematic Decompositional Natural Language Inference Using Informal LogicConference on Empirical Methods in Natural Language Processing (EMNLP)Nathaniel Weir, Kate Sanders, Orion Weller, et al.2024 · 7 citations
  58. Subjectivity Detection in English News using Large Language ModelsWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisMohammad Shokri, Vivek Sharma, Elena Filatova, et al.2024 · 7 citations
  59. How About Kind of Generating Hedges using End-to-End Neural Models?Annual Meeting of the Association for Computational Linguistics (ACL)Alafate Abulimiti, Chloé Clavel, Justine Cassell2023 · 7 citations
  60. Interventional Probing in High Dimensions: An NLI Case StudyFindings of the Association for Computational LinguisticsJulia Rozanova, Marco Valentino, Lucas Cordeiro, et al.2023 · 7 citations
  61. Simple but Challenging: Natural Language Inference Models Fail on Simple SentencesFindings of the Association for Computational LinguisticsCheng Luo, Wei Liu, Jieyu Lin, et al.2022 · 7 citations
  62. Investigating Biases in Textual Entailment DatasetsarXiv:1906.09635Shawn Tan, Yikang Shen, Chin-wei Huang, et al.2019 · 7 citations
  63. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
  64. Entailed Between the Lines: Incorporating Implication into NLIAnnual Meeting of the Association for Computational Linguistics (ACL)Shreya Havaldar, Hamidreza Alvari, John Palowitch, et al.2025 · 6 citations
  65. A Pragmatics-Centered Evaluation Framework for Natural Language UnderstandingLanguage Resources and Evaluation Conference (LREC)Damien Sileo, Philippe Muller, Tim Van de Cruys, et al.2022 · 6 citations
  66. Evaluating and Mitigating Inherent Linguistic Bias of African American English through InferenceInternational Conference on Computational Linguistics (COLING)Jamell Dacon, Haochen Liu, Jiliang Tang2022 · 6 citations
  67. Exploring Continual Learning of Compositional Generalization in NLITransactions of the Association for Computational Linguistics (TACL)Xiyan Fu, Anette Frank2024 · 5 citations
  68. “When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic IncongruityAnnual Meeting of the Association for Computational Linguistics (ACL)Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2023 · 5 citations
  69. Supporting Context Monotonicity Abstractions in Neural NLI ModelsWorkshops on Natural Logic Meets Machine Learning (NALOMA)Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.2021 · 5 citations
  70. AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Kosei Uemura, Miaoran Zhang, David Ifeoluwa Adelani2026 · 4 citations
  71. Evaluating Numeracy of Language Models as a Natural Language Inference TaskFindings of the Association for Computational LinguisticsRahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.2025 · 4 citations
  72. Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and PresuppositionarXiv:2506.06133Tara Azin, Daniel Dumitrescu, Diana Inkpen, et al.2025 · 4 citations
  73. It is not True that Transformers are Inductive Learners: Probing NLI Models with External NegationConference of the European Chapter of the Association for Computational Linguistics (EACL)Michael Sullivan2024 · 4 citations
  74. Conditional Natural Language InferenceFindings of the Association for Computational LinguisticsYoungwoo Kim, Razieh Rahimi, James Allan2023 · 4 citations
  75. FANCY: A Diagnostic Data-Set for NLI ModelsItalian Conference on Computational LinguisticsGuido Rocchietti, Flavia Achena, Giuseppe Marziano, et al.2021 · 4 citations
  76. A guide to the dataset explosion in QA, NLI, and commonsense reasoningAnna Rogers, Anna Rumshisky2020 · 4 citations
  77. How does Punctuation Affect Neural Models in Natural Language InferenceProceedings of the Probability and Meaning Conference (PaM 2020)Adam Ek, Jean-Philippe Bernardy, Stergios Chatzikyriakidis2020 · 4 citations
  78. Predicting the Argumenthood of English Prepositional PhrasesProceedings of the AAAI Conference on Artificial IntelligenceNajoung Kim, Kyle Rawlins, Benjamin Van Durme, et al.2018 · 4 citations
  79. Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of ExplanationsFindings of the Association for Computational LinguisticsPingjun Hong, Beiduo Chen, Siyao Peng, et al.2026 · 3 citations
  80. FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference BenchmarkingFindings of the Association for Computational LinguisticsJabez Magomere, Elena Kochkina, Samuel Mensah, et al.2025 · 3 citations
  81. NLI under the Microscope: What Atomic Hypothesis Decomposition RevealsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Neha Srikanth, Rachel Rudinger2025 · 3 citations
  82. How Hard is this Test Set? NLI Characterization by Exploiting Training DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP)Adrian Cosma, Stefan Ruseti, Mihai Dascalu, et al.2024 · 3 citations
  83. No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kellen Tan Cheng, Suma Bhat2024 · 3 citations
  84. Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity PragmaticsLanguage Resources and Evaluation Conference (LREC)Fangru Lin, Daniel Altshuler, Janet B. Pierrehumbert2024 · 3 citations
  85. PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and EnvironmentsConference on Computational Natural Language Learning (CoNLL)Daiki Asami, Saku Sugawara2023 · 3 citations
  86. Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning OptimizationLanguage Resources and Evaluation Conference (LREC)Michail Mersinias, Panagiotis Valvis2022 · 3 citations
  87. Improving the Precision of Natural Textual Entailment Problem DatasetsLanguage Resources and Evaluation Conference (LREC)Jean-Philippe Bernardy, Stergios Chatzikyriakidis2020 · 3 citations
  88. Probing the Natural Language Inference Task with Automated Reasoning ToolsarXiv:2005.02573Zaid Marji, Animesh Nighojkar, John Licato2020 · 3 citations
  89. Label and Explanation Variation in LLM-Based Annotation: a Case Study in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Artur Kulmizev, Erika Lombart, Patrick Watrin, et al.2026 · 2 citations
  90. Neural network embeddings recover value dimensions from psychometric survey items on par with human dataFindings of the Association for Computational LinguisticsMax Pellert, Clemens M Lechner, Indira Sen, et al.2026 · 2 citations
  91. Why Do More Experts Fail? A Theoretical Analysis of Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Zijing Wang, Xingle Xu, YongKang Liu, et al.2026 · 2 citations
  92. Investigating the Effect of Pre-finetuning BERT Models on NLI Involving PresuppositionsFindings of the Association for Computational LinguisticsJad Kabbara, Jackie Cheung2023 · 2 citations
  93. Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiyuan Li, Rakesh Menon, Sayan Ghosh, et al.2023 · 2 citations
  94. Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language InferenceProceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)Sushma Anand Akoju, Robert Vacareanu, Eduardo Blanco, et al.2023 · 2 citations
  95. Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction ButtressingPaolo Pedinotti, Emmanuele Chersoni, Enrico Santus, et al.2022 · 2 citations
  96. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic PatternsarXiv:2201.07614Reto Gubelmann, Siegfried Handschuh2022 · 2 citations
  97. Understanding Roles and Entities: Datasets and Models for Natural Language InferencearXiv:1904.09720Arindam Mitra, Ishan Shrivastava, Chitta Baral2019 · 2 citations
  98. Defensive Dual Masking for Robust Adversarial DefenseComputational LinguisticsWangli Yang, Jie Yang, Yi Guo, et al.2026 · 1 citation
  99. EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLIFindings of the Association for Computational LinguisticsLongfei Zuo, Barbara Plank, Siyao Peng2026 · 1 citation
  100. From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking EvidenceLanguage Resources and Evaluation Conference (LREC)Premtim Sahitaj, Jawan Kolanowski, Ariana Sahitaj, et al.2026 · 1 citation

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