[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/shen-2019-pragmatically-informative-text-generation/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Pragmatically Informative Text Generation»

# Who cites «Pragmatically Informative Text Generation»

33 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/shen-2019-pragmatically-informative-text-generation/)

1. [(RSA)\texttwosuperior: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding](https://aclanthology.org/2025.acl-long.1019/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog](https://aclanthology.org/2025.emnlp-main.1145/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
3. [GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews](https://aclanthology.org/2024.acl-long.688/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework](https://md.mova.elamur.ai/free/en/docs/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/) *— our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking](https://aclanthology.org/2023.sigdial-1.32/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
6. [Evaluating pragmatic abilities of image captioners on A3DS](https://aclanthology.org/2023.acl-short.110/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
7. [Modeling Cross-Cultural Pragmatic Inference with Codenames Duet](https://aclanthology.org/2023.findings-acl.410/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
8. [Pragmatic Inference with a CLIP Listener for Contrastive Captioning](https://aclanthology.org/2023.findings-acl.120/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [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*
10. [Inducing Positive Perspectives with Text Reframing](https://aclanthology.org/2022.acl-long.257/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics](https://aclanthology.org/2022.naacl-main.57/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
12. [A practical introduction to the Rational Speech Act modeling framework](https://md.mova.elamur.ai/free/en/docs/papers/scontras-2021-practical-introduction-rational-speech-act/) *— our card · 2021 · arXiv:2105.09867*
13. [Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG](https://aclanthology.org/2021.inlg-1.45/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
14. [Building Adaptive Acceptability Classifiers for Neural NLG](https://aclanthology.org/2021.emnlp-main.53/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
15. [Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning](https://aclanthology.org/2021.inlg-1.41/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
16. [FUDGE: Controlled Text Generation With Future Discriminators](https://aclanthology.org/2021.naacl-main.276/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [GeDi: Generative Discriminator Guided Sequence Generation](https://aclanthology.org/2021.findings-emnlp.424/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
18. [Improving Dialog Systems for Negotiation with Personality Modeling](https://aclanthology.org/2021.acl-long.56/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
19. [Mention Flags (MF): Constraining Transformer-based Text Generators](https://aclanthology.org/2021.acl-long.9/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
20. [Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes](https://aclanthology.org/2021.emnlp-main.170/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Prefix-Tuning: Optimizing Continuous Prompts for Generation](https://aclanthology.org/2021.acl-long.353/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
22. [Communication-based Evaluation for Natural Language Generation](https://aclanthology.org/2020.scil-1.16/) *— 2020 · Proceedings of the Society for Computation in Linguistics 2020*
23. [Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity](https://aclanthology.org/2020.coling-main.218/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
24. [Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation](https://aclanthology.org/2020.sigdial-1.3/) *— 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
25. [Leveraging Large Pretrained Models for WebNLG 2020](https://aclanthology.org/2020.webnlg-1.12/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
26. [Posterior Control of Blackbox Generation](https://aclanthology.org/2020.acl-main.243/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
27. [Towards Unsupervised Language Understanding and Generation by Joint Dual Learning](https://aclanthology.org/2020.acl-main.63/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
28. [Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness](https://aclanthology.org/2020.emnlp-main.65/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
29. [A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models](https://aclanthology.org/W19-8672/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
30. howcroft-2022-most-nlg-is-low-resource
31. luo-2020-make-templates-smarter-template-based
32. mersinias-2023-generated-text-is-nli-neutral
33. pagarey-2021-stylistic-mr-text-generation-pre
- [← previous Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-4/)
- [next → Who cites «Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2026-children-s-english-reading-story/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
