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# Who cites «PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations»

6 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/qi-2023-pragmaticqa-dataset-pragmatic-question-answering/)

1. [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)*
2. [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)*
3. [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*
4. [Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning](https://aclanthology.org/2024.emnlp-main.1258/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. nguyen-2024-do-text-vis-benchmarks-test
6. srikanth-2025-no-questions-are-stupid-but
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