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Who cites «Adversarial NLI: A New Benchmark for Natural Language Understanding»

659 papers of our library cite it (of the 149,439 whose bibliographies we read) · 152 with a page here, the most cited first · page 2 of 2 · 101–152 · ← back to «Adversarial NLI: A New Benchmark for Natural Language Understanding»

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  1. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on PragmaticsNanjiang Jiang, Marie-Catherine de Marneffe2021 · 21 citations
  2. Towards Effective Extraction and Evaluation of Factual ClaimsAnnual Meeting of the Association for Computational Linguistics (ACL)Dasha Metropolitansky, Jonathan Larson2025 · 20 citations
  3. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  4. Diversity-oriented Data Augmentation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zaitian Wang, Jinghan Zhang, Xinhao Zhang, et al.2025 · 17 citations
  5. English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language PromptsarXiv:2402.03223Patrick Bareiß, Roman Klinger, Jeremy Barnes2024 · 16 citations
  6. MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chanwoo Park, Seungju Han, Xingzhi Guo, et al.2025 · 15 citations
  7. Curing the SICK and Other NLI MaladiesComputational LinguisticsAikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb, et al.2023 · 14 citations
  8. 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
  9. Integrating Transformers and Knowledge Graphs for Twitter Stance DetectionWorkshop on Noisy User-generated TextThomas Clark, Costanza Conforti, Fangyu Liu, et al.2021 · 14 citations
  10. QCRD: Quality-guided Contrastive Rationale Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Wang, Zhaowei Li, Qi Xu, et al.2025 · 13 citations
  11. The ICL Consistency TestarXiv:2312.04945Lucas Weber, Elia Bruni, Dieuwke Hupkes2023 · 12 citations
  12. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
  13. MEraser: An Effective Fingerprint Erasure Approach for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingxuan Zhang, Zhenhua Xu, Rui Hu, et al.2025 · 11 citations
  14. 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
  15. EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport AlignmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Minh-Phuc Truong, Hai An Vu, Tu Vu, et al.2025 · 10 citations
  16. 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
  17. FaithLM: Towards Faithful Explanations for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.2026 · 9 citations
  18. 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
  19. Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checkingInternational Conference on Computational Linguistics (COLING)Dina Pisarevskaya, Arkaitz Zubiaga2025 · 9 citations
  20. 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
  21. 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
  22. Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yang Zhong, Diane Litman2025 · 8 citations
  23. LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Pingjun Hong, Beiduo Chen, Siyao Peng, et al.2025 · 8 citations
  24. Halu-J: Critique-Based Hallucination JudgearXiv:2407.12943Binjie Wang, Steffi Chern, Ethan Chern, et al.2024 · 8 citations
  25. GRIN: GRadient-INformed MoEarXiv:2409.12136Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.2024 · 7 citations
  26. 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
  27. 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
  28. CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation BackdoorConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenhua Xu, Xixiang Zhao, Xubin Yue, et al.2025 · 4 citations
  29. 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
  30. 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
  31. Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained CounterfactualsAnnual Meeting of the Association for Computational Linguistics (ACL)Robin Chan, Afra Amini, Mennatallah El-Assady2023 · 4 citations
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. What does BERT Learn from Arabic Machine Reading Comprehension Datasets?Arabic Natural Language Processing Workshop (WANLP)Eman Albilali, Nora Altwairesh, Manar Hosny2021 · 2 citations
  38. FaithLens: Detecting and Explaining Faithfulness HallucinationFindings of the Association for Computational LinguisticsShuzheng Si, Qingyi Wang, Haozhe Zhao, et al.2026 · 1 citation
  39. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness EvaluationFindings of the Association for Computational LinguisticsYulia Otmakhova, Thinh Hung Truong, Rahmad Mahendra, et al.2026 · 1 citation
  40. Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data SelectionFindings of the Association for Computational LinguisticsJoe Stacey, Lisa Alazraki, Aran Ubhi, et al.2026 · 1 citation
  41. sutta at SemEval-2026 Task 12: A Multi-Perspective Retrieve-Verify-Aggregate Framework for Abductive Event ReasoningInternational Workshop on Semantic Evaluation (SemEval)Junliu Zou, Liang Yang, Jingjie Zeng2026 · 1 citation
  42. On Reference (In-)Determinacy in Natural Language InferenceFindings of the Association for Computational LinguisticsSihao Chen, Chaitanya Malaviya, Alex Fabrikant, et al.2025 · 1 citation
  43. Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM EvaluationarXiv:2604.03395Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.2026
  44. Assessing the Difficulty of Inference Types in Natural Language Inference for Clinical TrialsLanguage Resources and Evaluation Conference (LREC)Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi2026
  45. Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented DataAnnual Meeting of the Association for Computational Linguistics (ACL)Navyansh Singh2026
  46. Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation EntanglementAnnual Meeting of the Association for Computational Linguistics (ACL)Divyajot Singh2026
  47. Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Rohit Sinha, Aditya Sanjiv Kanade, Sai Srinivas Kancheti, et al.2026
  48. Soft Head Selection for Injecting ICL-Derived Task EmbeddingsFindings of the Association for Computational LinguisticsJungwon Park, Jimyeong Kim, Changin Choi, et al.2026
  49. VERICITE: Evaluating Sentence-Level Citation Faithfulness in Retrieval-Augmented Medical Question AnsweringBioNLPYixian Ma, Bohao Chu, Norbert Fuhr2026
  50. Word Surprisal Correlates with Sentential Contradiction in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ning Shi, Bradley Hauer, David Basil, et al.2026
  51. A MISMATCHED Benchmark for Scientific Natural Language InferenceFindings of the Association for Computational LinguisticsFiroz Shaik, Mobashir Sadat, Nikita Gautam, et al.2025
  52. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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