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# Who cites «Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition»

86 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/jeretic-2020-are-natural-language-inference-models/)

1. [CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models](https://arxiv.org/abs/2603.09993) *— 2026 · arXiv:2603.09993*
2. [Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit Meaning](https://aclanthology.org/2026.starsem-conference.12/) *— 2026 · Proceedings of the 15th Joint Conference on Lexical and Computational Semantics (*SEM 2026)*
3. [Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives](https://arxiv.org/abs/2607.18443) *— 2026 · arXiv:2607.18443*
4. [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)*
5. [Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation](https://arxiv.org/abs/2607.25094) *— 2026 · arXiv:2607.25094*
6. [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)*
7. [POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio Discourse](https://aclanthology.org/2026.lrec-1.402/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
8. [Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs](https://aclanthology.org/2026.conll-main.26/) *— 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning*
9. [There Is No Spoon: Existential Presupposition in Large Language Models](https://aclanthology.org/2026.lrec-1.161/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
10. [Understanding Conversational Implicatures in Humans and LLMs](https://aclanthology.org/2026.acl-srw.66/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
11. [Can LLMs Ground when they (Don''t) Know: A Study on Direct and Loaded Political Questions](https://aclanthology.org/2025.acl-long.728/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Entailed Between the Lines: Incorporating Implication into NLI](https://aclanthology.org/2025.acl-long.1552/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [For GPT-4 as with Humans: Information Structure Predicts Acceptability of Long-Distance Dependencies](https://arxiv.org/abs/2505.09005) *— 2025 · arXiv:2505.09005*
14. [From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization](https://aclanthology.org/2025.findings-naacl.293/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
15. [Let''s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition](https://arxiv.org/abs/2506.06133) *— 2025 · arXiv:2506.06133*
16. [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*
17. [Meaning Beyond Truth Conditions: Evaluating Discourse Level Understanding via Anaphora Accessibility](https://aclanthology.org/2025.acl-long.432/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals](https://aclanthology.org/2025.naacl-long.130/) *— 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)*
19. [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*
20. [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)*
21. [SEA-HELM: Southeast Asian Holistic Evaluation of Language Models](https://aclanthology.org/2025.findings-acl.636/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
22. [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*
23. [Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders](https://md.mova.elamur.ai/free/en/docs/papers/zhang-2024-can-your-model-tell-negation/) *— our card · 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [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*
25. [Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions](https://arxiv.org/abs/2405.05776) *— 2024 · arXiv:2405.05776*
26. [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*
27. [Pragmatic inference of scalar implicature by LLMs](https://aclanthology.org/2024.acl-srw.2/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
28. [Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering](https://aclanthology.org/2024.naacl-long.403/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
29. [Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models](https://aclanthology.org/2024.eacl-long.27/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [(QA)$^2$: Question Answering with Questionable Assumptions](https://aclanthology.org/2023.acl-long.472/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [A fine-grained comparison of pragmatic language understanding in humans and language models](https://md.mova.elamur.ai/free/en/docs/papers/hu-2023-fine-grained-comparison-pragmatic-language/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
33. [CREPE: Open-Domain Question Answering with False Presuppositions](https://md.mova.elamur.ai/free/en/docs/papers/yu-2023-crepe-open-domain-question-answering/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning](https://arxiv.org/abs/2306.09030) *— 2023 · arXiv:2306.09030*
35. [Expectations over Unspoken Alternatives Predict Pragmatic Inferences](https://md.mova.elamur.ai/free/en/docs/papers/hu-2023-expectations-over-unspoken-alternatives-predict/) *— our card · 2023*
36. [Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases](https://aclanthology.org/2023.findings-acl.833/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
37. [Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?](https://arxiv.org/abs/2305.07666) *— 2023 · arXiv:2305.07666*
38. [Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions](https://aclanthology.org/2023.findings-emnlp.703/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
39. [Language model acceptability judgements are not always robust to context](https://aclanthology.org/2023.acl-long.333/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference](https://aclanthology.org/2023.law-1.20/) *— 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
41. [PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments](https://aclanthology.org/2023.conll-1.9/) *— 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)*
42. [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*
43. [We're Afraid Language Models Aren't Modeling Ambiguity](https://aclanthology.org/2023.emnlp-main.51/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
44. [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*
45. [ANLIzing the Adversarial Natural Language Inference Dataset](https://aclanthology.org/2022.scil-1.3/) *— 2022 · Proceedings of the Society for Computation in Linguistics 2022*
46. [Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models](https://arxiv.org/abs/2206.04615) *— 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj*
47. [Context Matters: A Pragmatic Study of PLMs'' Negation Understanding](https://aclanthology.org/2022.acl-long.315/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences](https://aclanthology.org/2022.coling-1.65/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
49. [Pre-trained Language Models'' Interpretation of Evaluativity Implicature: Evidence from Gradable Adjectives Usage in Context](https://aclanthology.org/2022.unimplicit-1.1/) *— 2022 · Proceedings of the Second Workshop on Understanding Implicit and Underspecified Language*
50. [Psycholinguistic Diagnosis of Language Models' Commonsense Reasoning](https://aclanthology.org/2022.csrr-1.3/) *— 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)*
51. [Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences](https://aclanthology.org/2022.findings-emnlp.252/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
52. [TestAug: A Framework for Augmenting Capability-based NLP Tests](https://aclanthology.org/2022.coling-1.307/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
53. [The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://arxiv.org/abs/2210.14986) *— 2022 · arXiv:2210.14986*
54. [Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI](https://aclanthology.org/2021.emnlp-main.303/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
55. [Dimensions of Commonsense Knowledge](https://arxiv.org/abs/2101.04640) *— 2021 · arXiv:2101.04640 (Knowledge-Based Systems 2021)*
56. [Dynabench: Rethinking Benchmarking in NLP](https://aclanthology.org/2021.naacl-main.324/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
57. [Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP](https://aclanthology.org/2021.acl-long.345/) *— 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)*
58. [Figurative Language in Recognizing Textual Entailment](https://aclanthology.org/2021.findings-acl.297/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
59. [GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning](https://md.mova.elamur.ai/free/en/docs/papers/zheng-2021-grice-grammar-based-dataset-recovering/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
60. [He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics](https://md.mova.elamur.ai/free/en/docs/papers/jiang-2021-he-thinks-he-knows-better/) *— our card · 2021*
61. [NOPE: A Corpus of Naturally-Occurring Presuppositions in English](https://md.mova.elamur.ai/free/en/docs/papers/parrish-2021-nope-corpus-naturally-occurring-presuppositions/) *— our card · 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
62. [Predicting scalar inferences from ``or'' to ``not both'' using neural sentence encoders](https://md.mova.elamur.ai/free/en/docs/papers/li-2021-predicting-scalar-inferences-or-not/) *— our card · 2021 · Proceedings of the Society for Computation in Linguistics 2021*
63. [Robustness Gym: Unifying the NLP Evaluation Landscape](https://aclanthology.org/2021.naacl-demos.6/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations*
64. [Sometimes We Want Ungrammatical Translations](https://aclanthology.org/2021.findings-emnlp.275/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
65. [UnNatural Language Inference](https://aclanthology.org/2021.acl-long.569/) *— 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)*
66. [Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning](https://aclanthology.org/2021.acl-long.93/) *— 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)*
67. [Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering](https://md.mova.elamur.ai/free/en/docs/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/) *— our card · 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)*
68. [ConjNLI: Natural Language Inference Over Conjunctive Sentences](https://aclanthology.org/2020.emnlp-main.661/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
69. [Discourse structure interacts with reference but not syntax in neural language models](https://aclanthology.org/2020.conll-1.32/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
70. [Harnessing the linguistic signal to predict scalar inferences](https://md.mova.elamur.ai/free/en/docs/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
71. [Mining Knowledge for Natural Language Inference from Wikipedia Categories](https://aclanthology.org/2020.findings-emnlp.313/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
72. [OCNLI: Original Chinese Natural Language Inference](https://arxiv.org/abs/2010.05444) *— 2020 · arXiv:2010.05444*
73. [Temporal Reasoning in Natural Language Inference](https://md.mova.elamur.ai/free/en/docs/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
74. abzianidze-2023-spacenli-evaluating-consistency-predicting-inferences
75. alexander-2023-harnessing-il-manifesto-newspaper-archive
76. aly-2024-tabver-tabular-fact-verification-natural
77. dong-2026-perspectival-words-is-harder-than
78. du-2026-it-s-not-what-you
79. elazar-2020-extraordinary-failure-complement-coercion-crowdsourcing
80. han-2026-crossing-cross-scale-reasoning-evaluation
81. kim-2025-discourse-sensitivity-attraction-effects-interplay
82. li-2025-glider-global-local-instruction-driven
83. staliunaite-2025-dis2dis-explaining-ambiguity-fact-checking
84. vandermeerschen-2025-supervised-unsupervised-probing-shortcut-learning
85. zhangxiaoyi-2025-ccl25-eval-4
86. zhu-2024-lieder-linguistically-informed-evaluation-discourse
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