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title: "Who cites Right for the Wrong — page 2 — 704 citing papers"
description: "704 papers of the Elamur Research library cite «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language…"
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# Who cites «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference»

704 papers of our library cite it (of the 141,840 whose bibliographies we read) · 105 with a page here, the most cited first · page 2 of 2 · 101–105 · [← back to «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference»](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/)

[← prev](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/cited-by/) **2**

101. **[Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning Optimization](https://md.research.elamur.ai/free/en/papers/mersinias-2022-mitigating-dataset-artifacts-natural-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Michail Mersinias, Panagiotis Valvis*2022 · 3 citations*
102. [**Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns arXiv:2201.07614**Reto Gubelmann, Siegfried Handschuh*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-uncovering-more-shallow-heuristics-probing/)
103. **[Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies](https://md.research.elamur.ai/free/en/papers/marro-2026-compositional-meaning-representations-llms-critical/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Rémy Marro*2026*
104. **[Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Wajdi Zaghouani*2026*
105. [**Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference arXiv:2101.07397**Qingyuan Hu, Yi Zhang, Kanishka Misra, et al.*2021*](https://md.research.elamur.ai/free/en/papers/hu-2021-exploring-lexical-irregularities-hypothesis-only/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/) — Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
