---
title: "Who cites How well do NLI models capture verb veridicality?"
description: "The papers of the Elamur Research library that cite «How well do NLI models capture verb veridicality?», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/ross-2019-how-well-do-nli-models/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [How well do NLI models capture verb veridicality?](https://md.research.elamur.ai/free/en/papers/ross-2019-how-well-do-nli-models/) / cited by

# Who cites «How well do NLI models capture verb veridicality?»

31 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/ross-2019-how-well-do-nli-models/)

1. [Do Language Models Know Theo Has a Wife? Investigating the Proviso Problem](https://aclanthology.org/2026.lrec-1.155/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Transformers Learning Contrafactives: The Importance of Data Distributions](https://aclanthology.org/2026.brigap-1.10/) *— 2026 · Proceedings of the Third Workshop on the Bridges and Gaps between Formal and Computational Linguistics (BriGap-3)*
3. [Glider: Global and Local Instruction-Driven Expert Router](https://aclanthology.org/2025.emnlp-main.319/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
4. [Let”s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition](https://arxiv.org/abs/2506.06133) *— 2025 · arXiv:2506.06133*
5. [On the Role of Linguistic Features in LLM Performance on Theory of Mind Tasks](https://aclanthology.org/2025.iwcs-main.26/) *— 2025 · Proceedings of the 16th International Conference on Computational Semantics*
6. [Overview of CCL25-Eval Task 4: Factivity Inference Evaluation 2025](https://aclanthology.org/2025.ccl-2.20/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
7. [Zero-Shot Belief: A Hard Problem for LLMs](https://aclanthology.org/2025.codi-1.10/) *— 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)*
8. [Exploring Continual Learning of Compositional Generalization in NLI](https://aclanthology.org/2024.tacl-1.51/) *— 2024 · Transactions of the Association for Computational Linguistics*
9. [(QA)$^2$: Question Answering with Questionable Assumptions](https://aclanthology.org/2023.acl-long.472/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Are Language Models Worse than Humans at Following Prompts? It's Complicated](https://aclanthology.org/2023.findings-emnlp.514/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
11. [Crowdsourcing Veridicality Annotations in Spanish: Can Speakers Actually Agree?](https://aclanthology.org/2023.ranlp-stud.8/) *— 2023 · Proceedings of the 8th Student Research Workshop associated with the International Conference Recent Advances in Natural Language Processing*
12. [Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations](https://aclanthology.org/2023.findings-emnlp.551/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments](https://aclanthology.org/2023.conll-1.9/) *— 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)*
14. [Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches](https://aclanthology.org/2023.findings-emnlp.840/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
15. [SETI: Systematicity Evaluation of Textual Inference](https://aclanthology.org/2023.findings-acl.252/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
16. [Towards Generative Event Factuality Prediction](https://aclanthology.org/2023.findings-acl.44/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
17. [BeSt: The Belief and Sentiment Corpus](https://aclanthology.org/2022.lrec-1.262/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
18. [Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models](https://arxiv.org/abs/2206.04615) *— 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj*
19. [Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation](https://aclanthology.org/2022.emnlp-main.694/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
20. [Re-Examining FactBank: Predicting the Author”s Presentation of Factuality](https://aclanthology.org/2022.coling-1.66/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
21. [Exploring Transitivity in Neural NLI Models through Veridicality](https://aclanthology.org/2021.eacl-main.78/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
22. [Figurative Language in Recognizing Textual Entailment](https://aclanthology.org/2021.findings-acl.297/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
23. [He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics](https://md.research.elamur.ai/free/en/papers/jiang-2021-he-thinks-he-knows-better/) *— our card · 2021*
24. [Monotonicity Marking from Universal Dependency Trees](https://aclanthology.org/2021.iwcs-1.12/) *— 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
25. [NOPE: A Corpus of Naturally-Occurring Presuppositions in English](https://md.research.elamur.ai/free/en/papers/parrish-2021-nope-corpus-naturally-occurring-presuppositions/) *— our card · 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
26. [Robustness Gym: Unifying the NLP Evaluation Landscape](https://aclanthology.org/2021.naacl-demos.6/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations*
27. [ConjNLI: Natural Language Inference Over Conjunctive Sentences](https://aclanthology.org/2020.emnlp-main.661/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
28. [Detecting Stance in Media On Global Warming](https://aclanthology.org/2020.findings-emnlp.296/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
29. [Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?](https://aclanthology.org/2020.acl-main.543/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
30. [Temporal Reasoning in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
31. [The Extraordinary Failure of Complement Coercion Crowdsourcing](https://aclanthology.org/2020.insights-1.17/) *— 2020 · Proceedings of the First Workshop on Insights from Negative Results in NLP*