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

1. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models — 2026 · arXiv:2603.09993
2. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives — 2026 · arXiv:2607.18443
3. Continuous Interpretive Steering for Scalar Diversity — 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 — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
5. DRInQ: Evaluating Conversational Implicature with Controlled Context Variation — 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 — 2026 · arXiv:2607.25094
7. ExpressivityBench: Can LLMs Communicate Implicitly? — 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? — 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 — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
10. Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities — 2026 · Dialogue & Discourse
11. Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
12. On Emergent Social World Models –- Evidence for Functional Integration of Theory of Mind and Pragmatic Reasoning in Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
13. QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
14. Steering Pragmatic Interpretation in LLMs: A Diagnostic Evaluation of Few-Shot and Reasoning-Based Prompting for Indirect Speech Acts. — 2026 · Proceedings of Learning Non-Literal Expressions with Small Data @ LREC 2026
15. Strategic Dialogue Assessment: The Crooked Path to Innocence — 2026 · Dialogue & Discourse
16. Teaching LLMs to unveil tendentious implicit contents of Italian political communication — 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics
17. ToM in LLM is not ToM, but a Pragmatic Effect — 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics
18. Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
19. Using Perspectival Words Is Harder Than Vocabulary Words for Humans –-and Even More So for Multimodal Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
20. (RSA)\texttwosuperior: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
21. Approche générative de la conformation pragmatique : une étude de cas de l''analyse d''une conférence — 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)
22. Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models — 2025 · Proceedings of the First BabyLM Workshop
23. Are explicit belief representations necessary? A comparison between Large Language Models and Bayesian probabilistic models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
24. Beyond Words: Integrating Theory of Mind into Conversational Agents for Human-Like Belief, Desire, and Intention Alignment — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
25. Comparing human and LLM politeness strategies in free production — our card · 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
26. Direct and Indirect Interpretations of Speech Acts: Evidence from Human Judgments and Large Language Models — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
27. Discourse Sensitivity in Attraction Effects: The Interplay Between Language Model Size and Training Data — 2025 · Proceedings of the Society for Computation in Linguistics 2025
28. Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
29. Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering — our card · 2025 · Proceedings of the Society for Computation in Linguistics 2025
30. Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
31. Linking language model predictions to human behaviour on scalar implicatures — 2025 · Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025
32. On the Dangers of Naïve Replication: The Case of Implicature — 2025 · Proceedings of the Society for Computation in Linguistics 2025
33. On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
34. Playpen: An Environment for Exploring Learning From Dialogue Game Feedback — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
35. Pragmatic Competence in LLMs: The Case of Eliciture — 2025 · Proceedings of the Society for Computation in Linguistics 2025
36. Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
37. Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs — 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
38. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
39. Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses — 2025 · arXiv:2511.23041
40. Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
41. Understand the Implication: Learning to Think for Pragmatic Understanding — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
42. Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
43. Ad Hoc Compounds for Stance Detection — 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024
44. Are LLMs good pragmatic speakers? — 2024 · arXiv:2411.01562
45. Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
46. Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
47. Comparing Humans and Large Language Models on an Experimental Protocol Inventory for Theory of Mind Evaluation (EPITOME) — 2024 · Transactions of the Association for Computational Linguistics
48. Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
49. Do Multimodal Large Language Models and Humans Ground Language Similarly? — 2024 · Computational Linguistics
50. Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology — 2024 · Proceedings of the Society for Computation in Linguistics 2024
51. FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
52. FigCLIP: A Generative Multimodal Model with Bidirectional Cross-attention for Understanding Figurative Language via Visual Entailment — 2024 · Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024)
53. Humans Learn Language from Situated Communicative Interactions. What about Machines? — 2024 · Computational Linguistics
54. Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
55. Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
56. LLMs of Catan: Exploring Pragmatic Capabilities of Generative Chatbots Through Prediction and Classification of Dialogue Acts in Boardgames'' Multi-party Dialogues — 2024 · Proceedings of the 10th Workshop on Games and Natural Language Processing @ LREC-COLING 2024
57. Language Model Behavior: A Comprehensive Survey — 2024 · Computational Linguistics
58. NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
59. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs'' Pragmatics Capabilities — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
60. Prompt Engineering 101 Prompt Engineering Guidelines from a Linguistic Perspective — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
61. Representing Abstract Concepts with Images: An Investigation with Large Language Models — 2024 · Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024
62. Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
63. SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives — our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
64. The Gricean Maxims in NLP - A Survey — our card · 2024 · Proceedings of the 17th International Natural Language Generation Conference
65. Towards a Fully Interpretable and More Scalable RSA Model for Metaphor Understanding — 2024 · arXiv:2404.02983
66. ``We Demand Justice!'''': Towards Social Context Grounding of Political Texts — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
67. Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings — 2023 · arXiv:2309.08591
68. Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
69. Dealing with Semantic Underspecification in Multimodal NLP — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
70. Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
71. Dissociating language and thought in large language models — 2023 · arXiv:2301.06627
72. Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
73. Enhancing Interpretability Using Human Similarity Judgements to Prune Word Embeddings — 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
74. Evaluating statistical language models as pragmatic reasoners — 2023 · arXiv:2305.01020
75. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection — 2023 · arXiv:2301.07597
76. Large Language Models are biased to overestimate profoundness — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
77. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
78. Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
79. Understanding Natural Language Understanding Systems. A Critical Analysis — 2023 · arXiv:2303.04229
80. When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle — our card · 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP