Who cites «Hypothesis Only Baselines in Natural Language Inference»
- Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
- On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
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- Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,662 citations
- 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
- 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
- Are NLP Models really able to Solve Simple Math Word Problems?Arkil Patel, Satwik Bhattamishra, Navin Goyal2021 · 890 citations
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- Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 531 citations
- Breaking NLI Systems with Sentences that Require Simple Lexical InferencesMax Glockner, Vered Shwartz, Yoav Goldberg2018 · 525 citations
- Dialogue Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Welleck, Jason Weston, Arthur Szlam, et al.2019 · 385 citations
- Datasets: A Community Library for Natural Language ProcessingarXiv:2109.02846Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.2021 · 368 citations
- How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 364 citations
- WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
- Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 309 citations
- 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
- 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
- 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
- ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
- 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
- Measuring and Reducing Gendered Correlations in Pre-trained ModelsarXiv:2010.06032Kellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 254 citations
- 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
- Sources of Hallucination by Large Language Models on Inference TasksFindings of the Association for Computational LinguisticsNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 212 citations
- Prompting GPT-3 To Be ReliablearXiv:2210.09150Chenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 210 citations
- 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
- 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
- Translation Artifacts in Cross-lingual Transfer LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mikel Artetxe, Gorka Labaka, Eneko Agirre2020 · 176 citations
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- 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
- 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
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- OCNLI: Original Chinese Natural Language InferencearXiv:2010.05444Hai Hu, Kyle Richardson, Liang Xu, et al.2020 · 148 citations
- 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
- UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 135 citations
- Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
- FLUTE: Figurative Language Understanding through Textual ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 133 citations
- Generalization in NLI: Ways (Not) To Go Beyond Simple HeuristicsWorkshop on Insights from Negative Results in NLPPrajjwal Bhargava, Aleksandr Drozd, Anna Rogers2021 · 131 citations
- Natural Language Reasoning, A SurveyACM Computing SurveysFei Yu, Hongbo Zhang, Prayag Tiwari, et al.2023 · 130 citations
- An Analysis of Natural Language Inference Benchmarks through the Lens of NegationMd Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, et al.2020 · 130 citations
- 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
- DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceFindings of the Association for Computational LinguisticsWenpeng Yin, Dragomir Radev, Caiming Xiong2021 · 121 citations
- Analyzing Compositionality-Sensitivity of NLI ModelsProceedings of the AAAI Conference on Artificial IntelligenceYixin Nie, Yicheng Wang, Mohit Bansal2018 · 121 citations
- 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
- Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption ContestAnnual Meeting of the Association for Computational Linguistics (ACL)Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.2023 · 112 citations
- Reframing Human-AI Collaboration for Generating Free-Text ExplanationsarXiv:2112.08674Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, et al.2021 · 111 citations
- 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
- HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language GenerationarXiv:2108.06712Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, et al.2021 · 108 citations
- Uncertain Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.2020 · 107 citations
- Look at the First Sentence: Position Bias in Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, et al.2020 · 104 citations
- 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
- A Long Way to Go: Investigating Length Correlations in RLHFarXiv:2310.03716Prasann Singhal, Tanya Goyal, Jiacheng Xu, et al.2023 · 99 citations
- 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
- 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
- JGLUE: Japanese General Language Understanding EvaluationLanguage Resources and Evaluation Conference (LREC)Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata2022 · 90 citations
- 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
- "I'd rather just go to bed": Understanding Indirect AnswersAnnie Louis, Dan Roth, Filip Radlinski2020 · 72 citations
- 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
- Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
- Implicit Discourse Relation Classification: We Need to Talk about EvaluationNajoung Kim, Song Feng, Chulaka Gunasekara, et al.2020 · 69 citations
- IMPLI: Investigating NLI Models' Performance on Figurative LanguageKevin Stowe, Prasetya Utama, Iryna Gurevych2022 · 68 citations
- 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
- 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
- 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
- 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
- ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Yixin Nie, Mohit Bansal2020 · 51 citations
- 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
- ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
- 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
- Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified SentencesarXiv:1810.13033Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts2018 · 37 citations
- 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
- 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
- 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
- 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
- Sensitivity as a Complexity Measure for Sequence Classification TasksTransactions of the Association for Computational Linguistics (TACL)Michael Hahn, Dan Jurafsky, Richard Futrell2021 · 26 citations
- Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yisong Miao, Hongfu Liu, Wenqiang Lei, et al.2024 · 16 citations
- 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
- When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)Joint Conference on Lexical and Computational Semantics (*SEM)Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus, et al.2023 · 15 citations
- Curing the SICK and Other NLI MaladiesComputational LinguisticsAikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb, et al.2023 · 14 citations
- Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because ıt weakens superficial cues\Findings of the Association for Computational LinguisticsPride Kavumba, Ana Brassard, Benjamin Heinzerling, et al.2023 · 14 citations
- 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
- 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
- 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
- Non-entailed subsequences as a challenge for natural language inferencearXiv:1811.12112R. Thomas McCoy, Tal Linzen2018 · 13 citations
- 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
- 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
- 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
- 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
- Investigating Biases in Textual Entailment DatasetsarXiv:1906.09635Shawn Tan, Yikang Shen, Chin-wei Huang, et al.2019 · 7 citations
- 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
- SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance DetectionInternational Conference on Computational Linguistics (COLING)Jianhua Yuan, Yanyan Zhao, Yanyue Lu, et al.2022 · 6 citations
- Annotation Difficulties in Natural Language InferenceBrazilian Symposium in Information and Human Language TechnologyAikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.2021 · 5 citations
- 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
- 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
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