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# Who cites «Conversational implicatures in English dialogue: Annotated dataset»

12 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/george-2019-conversational-implicatures-english-dialogue-annotated/)

1. [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)*
2. [Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation](https://arxiv.org/abs/2607.25094) *— 2026 · arXiv:2607.25094*
3. [On Emergent Social World Models –- Evidence for Functional Integration of Theory of Mind and Pragmatic Reasoning in Language Models](https://aclanthology.org/2026.acl-long.1735/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [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)*
5. [Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction](https://arxiv.org/abs/2510.25426) *— 2025 · arXiv:2510.25426*
6. [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*
7. [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)*
8. [Survey on Computational Approaches to Implicature](https://md.mova.elamur.ai/free/en/docs/papers/anuranjana-2024-survey-computational-approaches-implicature/) *— our card · 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)*
9. [tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework](https://aclanthology.org/2024.lrec-main.1361/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
10. [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*
11. [The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://arxiv.org/abs/2210.14986) *— 2022 · arXiv:2210.14986*
12. li-2025-glider-global-local-instruction-driven
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