Who cites «PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities»

53 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. A First Step towards Dialog Simulation with Grounded Dialog Graphs — 2026 · Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)
2. AwarenessBench: Assessing Cognitive Capabilities of Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
3. BanglaSocialBench: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
4. Beyond Understanding: Evaluating the Pragmatic Gap in LLMs'' Cultural Processing of Figurative Language — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
5. Contextualizing Toxicity: An Annotation Framework for Unveiling Pragmatics in Conversations of Online Discussion Forums — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
6. CrosSing: Cross-Scale Reasoning Evaluation on LLMs against Humans — 2026 · Proceedings of the Society for Computation in Linguistics 2026
7. 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)
8. Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
9. Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs — 2026 · arXiv:2603.17171
10. ExpressivityBench: Can LLMs Communicate Implicitly? — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
11. Flout at Your Own Risk: LLMs Struggle with Pragmatic Cooperativity Under Epistemic Asymmetry — 2026 · arXiv:2607.11053
12. 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
13. Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities — 2026 · Dialogue & Discourse
14. 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
15. 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)
16. Polite but Misaligned: Evaluating LLM Politeness Judgments Against Human Pragmatic Norms — 2026 · EMNLP2026
17. Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs — 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning
18. 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)
19. Social Meaning in Large Language Models: Structure, Magnitude, and Pragmatic Prompting — 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics
20. 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
21. The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
22. ToM in LLM is not ToM, but a Pragmatic Effect — 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics
23. 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)
24. 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)
25. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
26. (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)
27. Can Large Language Models Advance Crosswalks? The Case of Danish Occupation Codes — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
28. 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)
29. 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
30. FLUID QA: A Multilingual Benchmark for Figurative Language Usage in Dialogue across English, Chinese, and Korean — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
31. From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
32. How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
33. Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction — 2025 · arXiv:2510.25426
34. KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
35. Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
36. 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
37. 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
38. 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
39. 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)
40. QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
41. Understand the Implication: Learning to Think for Pragmatic Understanding — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
42. Understanding Figurative Meaning through Explainable Visual Entailment — 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)
43. VIBE: Can a VLM Read the Room? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
44. When Figures Speak with Irony: Investigating the Role of Rhetorical Figures in Irony Generation with LLMs — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
45. Are LLMs good pragmatic speakers? — 2024 · arXiv:2411.01562
46. Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models'' Understanding of Discourse Relations — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
47. Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions — 2024 · arXiv:2405.05776
48. Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
49. Leveraging Linguistic Structural Information for Improving the Model's Semantic Understanding Ability — 2024 · Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems
50. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
51. 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
52. Survey on Computational Approaches to Implicature — our card · 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)
53. The Gricean Maxims in NLP - A Survey — our card · 2024 · Proceedings of the 17th International Natural Language Generation Conference