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# Who cites «A fine-grained comparison of pragmatic language understanding in humans and language models»

80 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/hu-2023-fine-grained-comparison-pragmatic-language/)

1. [CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models](https://arxiv.org/abs/2603.09993) *— 2026 · arXiv:2603.09993*
2. [Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives](https://arxiv.org/abs/2607.18443) *— 2026 · arXiv:2607.18443*
3. [Continuous Interpretive Steering for Scalar Diversity](https://aclanthology.org/2026.acl-long.577/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Conversational Implicatures through the Lens of LLMs](https://aclanthology.org/2026.lrec-1.389/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
5. [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)*
6. [Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation](https://arxiv.org/abs/2607.25094) *— 2026 · arXiv:2607.25094*
7. [ExpressivityBench: Can LLMs Communicate Implicitly?](https://aclanthology.org/2026.findings-eacl.235/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
8. [Graded Expectations: Do Large Language Models Show Human-like Sensitivity to the Likelihood of Deceptive Speech Acts?](https://aclanthology.org/2026.scil-main.46/) *— 2026 · Proceedings of the Society for Computation in Linguistics 2026*
9. [How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models](https://aclanthology.org/2026.findings-acl.372/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
10. [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)*
11. [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*
12. [Teaching LLMs to unveil tendentious implicit contents of Italian political communication](https://aclanthology.org/2026.cmcl-1.17/) *— 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics*
13. [ToM in LLM is not ToM, but a Pragmatic Effect](https://aclanthology.org/2026.cmcl-1.4/) *— 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics*
14. [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)*
15. [(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)*
16. [Approche générative de la conformation pragmatique : une étude de cas de l''analyse d''une conférence](https://aclanthology.org/2025.jeptalnrecital-evalllm.4/) *— 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)*
17. [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*
18. [Comparing human and LLM politeness strategies in free production](https://md.mova.elamur.ai/free/en/docs/papers/zhao-2025-comparing-human-llm-politeness-strategies/) *— our card · 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
19. [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)*
20. [Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey](https://aclanthology.org/2025.emnlp-main.1243/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
21. [Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering](https://md.mova.elamur.ai/free/en/docs/papers/tsvilodub-2025-integrating-neural-symbolic-components-model/) *— our card · 2025 · Proceedings of the Society for Computation in Linguistics 2025*
22. [Linking language model predictions to human behaviour on scalar implicatures](https://aclanthology.org/2025.neusymbridge-1.10/) *— 2025 · Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025*
23. [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*
24. [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*
25. [Pragmatic Competence in LLMs: The Case of Eliciture](https://aclanthology.org/2025.scil-1.39/) *— 2025 · Proceedings of the Society for Computation in Linguistics 2025*
26. [Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language](https://aclanthology.org/2025.emnlp-main.296/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
27. [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*
28. [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)*
29. [Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses](https://arxiv.org/abs/2511.23041) *— 2025 · arXiv:2511.23041*
30. [Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests](https://aclanthology.org/2025.findings-emnlp.1092/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
31. [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*
32. [Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability](https://aclanthology.org/2025.coling-main.677/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
33. [Ad Hoc Compounds for Stance Detection](https://aclanthology.org/2024.mwe-1.27/) *— 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024*
34. [Are LLMs good pragmatic speakers?](https://arxiv.org/abs/2411.01562) *— 2024 · arXiv:2411.01562*
35. [Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models](https://aclanthology.org/2024.eacl-long.138/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [Comparing Humans and Large Language Models on an Experimental Protocol Inventory for Theory of Mind Evaluation (EPITOME)](https://aclanthology.org/2024.tacl-1.45/) *— 2024 · Transactions of the Association for Computational Linguistics*
37. [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)*
38. [Do Multimodal Large Language Models and Humans Ground Language Similarly?](https://aclanthology.org/2024.cl-4.7/) *— 2024 · Computational Linguistics*
39. [Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology](https://aclanthology.org/2024.scil-1.15/) *— 2024 · Proceedings of the Society for Computation in Linguistics 2024*
40. [FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition](https://aclanthology.org/2024.emnlp-main.734/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
41. [Humans Learn Language from Situated Communicative Interactions. What about Machines?](https://aclanthology.org/2024.cl-4.3/) *— 2024 · Computational Linguistics*
42. [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)*
43. [Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs](https://aclanthology.org/2024.emnlp-main.1208/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
44. [LLMs of Catan: Exploring Pragmatic Capabilities of Generative Chatbots Through Prediction and Classification of Dialogue Acts in Boardgames'' Multi-party Dialogues](https://aclanthology.org/2024.games-1.12/) *— 2024 · Proceedings of the 10th Workshop on Games and Natural Language Processing @ LREC-COLING 2024*
45. [Language Model Behavior: A Comprehensive Survey](https://aclanthology.org/2024.cl-1.9/) *— 2024 · Computational Linguistics*
46. [NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps](https://aclanthology.org/2024.naacl-long.331/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
47. [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*
48. [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*
49. [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)*
50. [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*
51. [``We Demand Justice!'''': Towards Social Context Grounding of Political Texts](https://aclanthology.org/2024.emnlp-main.22/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
52. [Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings](https://arxiv.org/abs/2309.08591) *— 2023 · arXiv:2309.08591*
53. [Dealing with Semantic Underspecification in Multimodal NLP](https://aclanthology.org/2023.acl-long.675/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models](https://aclanthology.org/2023.findings-acl.227/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
55. [Dissociating language and thought in large language models](https://arxiv.org/abs/2301.06627) *— 2023 · arXiv:2301.06627*
56. [Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark](https://aclanthology.org/2023.emnlp-main.699/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
57. [Evaluating statistical language models as pragmatic reasoners](https://arxiv.org/abs/2305.01020) *— 2023 · arXiv:2305.01020*
58. [How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection](https://arxiv.org/abs/2301.07597) *— 2023 · arXiv:2301.07597*
59. [Large Language Models are biased to overestimate profoundness](https://aclanthology.org/2023.emnlp-main.599/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
60. [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*
61. [Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models](https://aclanthology.org/2023.findings-emnlp.72/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
62. [Understanding Natural Language Understanding Systems. A Critical Analysis](https://arxiv.org/abs/2303.04229) *— 2023 · arXiv:2303.04229*
63. [When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle](https://md.mova.elamur.ai/free/en/docs/papers/sieker-2023-when-your-language-model-cannot/) *— our card · 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
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