🔗 Who cites «Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences»

16 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences»

1. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,635 citations
2. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
3. 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
4. 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 · 58 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. 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
8. 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

8 more papers of our library cite it; they have no page here yet.

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