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# Who cites «GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning»

24 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/zheng-2021-grice-grammar-based-dataset-recovering/)

1. [Conversational Implicatures through the Lens of LLMs](https://aclanthology.org/2026.lrec-1.389/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [DRInQ: Evaluating Conversational Implicature with Controlled Context Variation](https://aclanthology.org/2026.acl-long.1597/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Steering Pragmatic Interpretation in LLMs: A Diagnostic Evaluation of Few-Shot and Reasoning-Based Prompting for Indirect Speech Acts.](https://aclanthology.org/2026.nonliteral-1.2/) *— 2026 · Proceedings of Learning Non-Literal Expressions with Small Data @ LREC 2026*
4. [Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses](https://aclanthology.org/2026.acl-long.2101/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://aclanthology.org/2025.babylm-main.4/) *— 2025 · Proceedings of the First BabyLM Workshop*
6. [Direct and Indirect Interpretations of Speech Acts: Evidence from Human Judgments and Large Language Models](https://aclanthology.org/2025.clicit-1.79/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
7. [Entailed Between the Lines: Incorporating Implication into NLI](https://aclanthology.org/2025.acl-long.1552/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [On the Dangers of Naïve Replication: The Case of Implicature](https://aclanthology.org/2025.scil-1.17/) *— 2025 · Proceedings of the Society for Computation in Linguistics 2025*
9. [On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts](https://aclanthology.org/2025.emnlp-main.1008/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
10. [Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs](https://aclanthology.org/2025.ijcnlp-long.132/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
11. [Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges](https://aclanthology.org/2025.acl-long.425/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Understand the Implication: Learning to Think for Pragmatic Understanding](https://aclanthology.org/2025.findings-acl.1218/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
13. [Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom](https://aclanthology.org/2024.ccl-1.98/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
14. [Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs](https://aclanthology.org/2024.acl-short.26/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [PUB: A Pragmatics Understanding Benchmark for Assessing LLMs'' Pragmatics Capabilities](https://md.mova.elamur.ai/free/en/docs/papers/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
16. [Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering](https://aclanthology.org/2024.naacl-long.403/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
17. [SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives](https://md.mova.elamur.ai/free/en/docs/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/) *— our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
18. [The Gricean Maxims in NLP - A Survey](https://md.mova.elamur.ai/free/en/docs/papers/krause-2024-gricean-maxims-nlp-survey/) *— our card · 2024 · Proceedings of the 17th International Natural Language Generation Conference*
19. [A fine-grained comparison of pragmatic language understanding in humans and language models](https://md.mova.elamur.ai/free/en/docs/papers/hu-2023-fine-grained-comparison-pragmatic-language/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning](https://arxiv.org/abs/2306.09030) *— 2023 · arXiv:2306.09030*
21. [Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures](https://md.mova.elamur.ai/free/en/docs/papers/kim-2023-pope-catholic-applying-chain-thought/) *— our card · 2023 · arXiv:2305.13826*
22. [The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://arxiv.org/abs/2210.14986) *— 2022 · arXiv:2210.14986*
23. dong-2026-perspectival-words-is-harder-than
24. ginn-2026-first-step-dialog-simulation-grounded
- [← previous Who cites «Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zheng-2020-evaluating-enhancing-robustness-neural-network/)
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