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🧮 Reasoning

508 papers · page 5 of 6 · 326–425 · the most cited first · all topics

Logic, inference and step-by-step problem solving: entailment, commonsense, mathematics.

 Papers (508)

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  1. Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020 · 57 citations
  2. 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 · 55 citations
  3. On-demand Injection of Lexical Knowledge for Recognising Textual EntailmentConference of the European Chapter of the Association for Computational Linguistics (EACL)Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.2017 · 52 citations
  4. 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
  5. ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Yixin Nie, Mohit Bansal2020 · 50 citations
  6. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  7. A Hybrid Reasoning Model for Indirect AnswersAnnual Meeting of the Association for Computational Linguistics (ACL)Nancy Green, Sandra Carberry1994 · 44 citations
  8. SciNLI: A Corpus for Natural Language Inference on Scientific TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mobashir Sadat, Cornelia Caragea2022 · 43 citations
  9. Syntactic/Semantic Structures for Textual Entailment RecognitionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto2010 · 43 citations
  10. We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on TwitterCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 39 citations
  11. Semantic Inference at the Lexical-Syntactic Level for Textual Entailment RecognitionRoy Bar-Haim, Ido Dagan, Iddo Greental, et al.2007 · 39 citations
  12. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataFindings of the Association for Computational LinguisticsMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
  13. 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
  14. Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified SentencesarXiv:1810.13033Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts2018 · 37 citations
  15. Embracing Ambiguity: Shifting the Training Target of NLI ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara, et al.2021 · 36 citations
  16. GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoningZilong Zheng, Shuwen Qiu, Lifeng Fan, et al.2021 · 36 citations
  17. 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 · 36 citations
  18. Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningFindings of the Association for Computational LinguisticsXiang Zhou, Yixin Nie, Mohit Bansal2022 · 35 citations
  19. FATE: a FrameNet-Annotated Corpus for Textual EntailmentLanguage Resources and Evaluation Conference (LREC)Aljoscha Burchardt, Marco Pennacchiotti2008 · 35 citations
  20. Dependency-based paraphrasing for recognizing textual entailmentErwin Marsi, Emiel Krahmer, Wauter Bosma2007 · 35 citations
  21. Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Denis Emelin, Rico Sennrich2021 · 34 citations
  22. Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?Proceedings of the AAAI Conference on Artificial IntelligenceBen Yao, Yazhou Zhang, Qiuchi Li, et al.2024 · 33 citations
  23. BIUTEE: A Modular Open-Source System for Recognizing Textual EntailmentAnnual Meeting of the Association for Computational Linguistics (ACL)Asher Stern, Ido Dagan2012 · 31 citations
  24. Exploiting Sentiment and Common Sense for Zero-shot Stance DetectionInternational Conference on Computational Linguistics (COLING)Yun Luo, Zihan Liu, Yuefeng Shi, et al.2022 · 30 citations
  25. 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
  26. Chain-of-Thought Embeddings for Stance Detection on Social MediaFindings of the Association for Computational LinguisticsJoseph Gatto, Omar Sharif, Sarah M. Preum2023 · 28 citations
  27. 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
  28. SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language InferenceMartin Schmitt, Hinrich Schütze2019 · 28 citations
  29. Recognizing Expressions of Commonsense Psychology in English TextAndrew Gordon, Abe Kazemzadeh, Anish Nair, et al.2003 · 28 citations
  30. 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
  31. 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 · 27 citations
  32. 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
  33. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled BenchmarkMinglai Yang, Ethan Huang, Liang Zhang, et al.2025 · 24 citations
  34. 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
  35. A simple repair mechanism can alleviate computational demands of pragmatic reasoning: simulations and complexity analysisConference on Computational Natural Language Learning (CoNLL)Jacqueline van Arkel, Marieke Woensdregt, Mark Dingemanse, et al.2020 · 24 citations
  36. 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
  37. What happens before and after: Multi-Event Commonsense in Event Coreference ResolutionConference of the European Chapter of the Association for Computational Linguistics (EACL)Sahithya Ravi, Chris Tanner, Raymond Ng, et al.2023 · 21 citations
  38. Natural Language Inference with MonotonicityInternational Conference on Computational Semantics (IWCS) –- Short papersHai Hu, Qi Chen, Larry Moss2019 · 21 citations
  39. Is there a place for logic in recognizing textual entailmentLinguistic Issues in Language TechnologyJohan Bos2014 · 18 citations
  40. ArMATH: a Dataset for Solving Arabic Math Word ProblemsLanguage Resources and Evaluation Conference (LREC)Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang2022 · 17 citations
  41. Does Commonsense help in detecting Sarcasm?Workshop on Insights from Negative Results in NLPSomnath Basu Roy Chowdhury, Snigdha Chaturvedi2021 · 17 citations
  42. Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated WorldsIgor Labutov, Bishan Yang, Anusha Prakash, et al.2018 · 17 citations
  43. Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment AlgorithmsJoint Conference on Lexical and Computational Semantics (*SEM)Tae-Gil Noh, Sebastian Padó, Vered Shwartz, et al.2015 · 17 citations
  44. New Trends for Modern Machine Translation with Large Reasoning ModelsLanguage Resources and Evaluation Conference (LREC)Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
  45. 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
  46. 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
  47. 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
  48. Adversarial Analysis of Natural Language Inference SystemsarXiv:1912.03441Tiffany Chien, Jugal Kalita2019 · 15 citations
  49. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  50. Natural Language Inference with Mixed EffectsJoint Conference on Lexical and Computational Semantics (*SEM)William Gantt, Benjamin Kane, Aaron Steven White2020 · 14 citations
  51. 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
  52. 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
  53. 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
  54. Non-entailed subsequences as a challenge for natural language inferencearXiv:1811.12112R. Thomas McCoy, Tal Linzen2018 · 13 citations
  55. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  56. Investigating the Performance of Transformer-Based NLI Models on Presuppositional InferencesInternational Conference on Computational Linguistics (COLING)Jad Kabbara, Jackie Chi Kit Cheung2022 · 12 citations
  57. Combining Event Semantics and Degree Semantics for Natural Language InferenceIzumi Haruta, Koji Mineshima, Daisuke Bekki2020 · 12 citations
  58. Memorization or Reasoning? Exploring the Idiom Understanding of LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Jisu Kim, Youngwoo Shin, Uiji Hwang, et al.2025 · 11 citations
  59. 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
  60. Coreference Reasoning in Machine Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.2021 · 11 citations
  61. Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human RatingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPHendrik Schuff, Hsiu-Yu Yang, Heike Adel, et al.2021 · 11 citations
  62. 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
  63. Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold StandardsInternational Conference on Computational SemanticsMarco Valentino, Ian Pratt-Hartmann, André Freitas2021 · 10 citations
  64. 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
  65. Marked Attribute Bias in Natural Language InferenceFindings of the Association for Computational LinguisticsHillary Dawkins2021 · 10 citations
  66. Recognizing Textual Entailment Using Probabilistic InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Lei Sha, Sujian Li, Baobao Chang, et al.2015 · 10 citations
  67. FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTEInternational Workshop on Semantic Evaluation (SemEval)Ngoc Phuoc An Vo, Octavian Popescu, Tommaso Caselli2014 · 10 citations
  68. MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMsarXiv:2603.07539Abdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed2026 · 9 citations
  69. 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
  70. Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Xi Chen, Shuo Wang2025 · 9 citations
  71. ArNLI: Arabic Natural Language Inference for Entailment and Contradiction DetectionarXiv:2209.13953 · (2023) Computer Science, 24(2)Khloud Al Jallad, Nada Ghneim2022 · 9 citations
  72. SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable AdjectivesRashid Nizamani, Sebastian Schuster, Vera Demberg2024 · 8 citations
  73. 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
  74. Recognizing Textual Entailment using Dependency Analysis and Machine LearningConference of the North American Chapter of the Association for Computational Linguistics: Student Research WorkshopNidhi Sharma, Richa Sharma, Kanad K. Biswas2015 · 8 citations
  75. Is it Worth Submitting this Run? Assess your RTE System with a Good Sparring PartnerProceedings of the TextInfer 2011 Workshop on Textual EntailmentMilen Kouylekov, Yashar Mehdad, Matteo Negri2011 · 8 citations
  76. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations
  77. 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
  78. Investigating Biases in Textual Entailment DatasetsarXiv:1906.09635Shawn Tan, Yikang Shen, Chin-wei Huang, et al.2019 · 7 citations
  79. What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge?arXiv:1806.03561Peter Clark2018 · 7 citations
  80. Recognizing Textual Entailment in Twitter Using Word EmbeddingsWorkshop on Evaluating Vector Space Representations for NLPOctavia-Maria Şulea2017 · 7 citations
  81. Semantic Annotation of Textual EntailmentInternational Conference on Computational Semantics – Long PapersAssaf Toledo, Stavroula Alexandropoulou, Sophia Katrenko, et al.2013 · 7 citations
  82. "Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational ImplicaturesZae Myung Kim, David E. Taylor, Dongyeop Kang2023 · 6 citations
  83. 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
  84. Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic ReasoningInternational Natural Language Generation Conference (INLG)Sina Zarrieß, Hendrik Buschmeier, Ting Han, et al.2021 · 6 citations
  85. Labeled Alignment for Recognizing Textual EntailmentInternational Joint Conference on Natural Language Processing (IJCNLP)Xiaolin Wang, Hai Zhao, Bao-Liang Lu2013 · 6 citations
  86. Annotation Difficulties in Natural Language InferenceBrazilian Symposium in Information and Human Language TechnologyAikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.2021 · 5 citations
  87. 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
  88. Reasoning Requirements for Indirect Speech Act InterpretationVasanth Sarathy, Alexander Tsuetaki, Antonio Roque, et al.2020 · 5 citations
  89. BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual EntailmentInternational Workshop on Semantic Evaluation (SemEval)Saúl León, Darnes Vilariño, David Pinto, et al.2014 · 5 citations
  90. Pragmatic reasoning and semantic convention: A case study on gradable adjectivesSemantics and PragmaticsMing Xiang, Christopher Kennedy, Weijie Xu, et al.2022 · 4 citations
  91. FANCY: A Diagnostic Data-Set for NLI ModelsItalian Conference on Computational LinguisticsGuido Rocchietti, Flavia Achena, Giuseppe Marziano, et al.2021 · 4 citations
  92. A Benchmark Arabic Dataset for Commonsense ExplanationarXiv:2012.10251Saja AL-Tawalbeh, Mohammad AL-Smadi2020 · 4 citations
  93. A guide to the dataset explosion in QA, NLI, and commonsense reasoningAnna Rogers, Anna Rumshisky2020 · 4 citations
  94. 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
  95. Is this sentence valid? An Arabic Dataset for Commonsense ValidationarXiv:2008.10873Saja Tawalbeh, Mohammad AL-Smadi2020 · 4 citations
  96. ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkLanguage Resources and Evaluation Conference (LREC)Sara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations
  97. Semantic Change Characterization with LLMs using RhetoricsProceedings for the International Workshop on Computational Approaches to Language ChangeJáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, et al.2026 · 3 citations
  98. 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
  99. 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
  100. Improving the Precision of Natural Textual Entailment Problem DatasetsLanguage Resources and Evaluation Conference (LREC)Jean-Philippe Bernardy, Stergios Chatzikyriakidis2020 · 3 citations

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