Who cites «NOPE: A Corpus of Naturally-Occurring Presuppositions in English»

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

1. 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)
2. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
3. Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs — 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning
4. There Is No Spoon: Existential Presupposition in Large Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
5. Thesis Proposal: Intentional Inference for Insight Generation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
6. Let''s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition — 2025 · arXiv:2506.06133
7. Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs — 2025 · Proceedings of the Second International Workshop on Construction Grammars and NLP
8. Measuring Bias and Agreement in Large Language Model Presupposition Judgments — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
9. SEA-HELM: Southeast Asian Holistic Evaluation of Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
10. Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions — 2024 · arXiv:2405.05776
11. 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
12. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs'' Pragmatics Capabilities — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
13. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
14. 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)
15. (QA)$^2$: Question Answering with Questionable Assumptions — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
16. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
17. Benchmarks for Automated Commonsense Reasoning: A Survey — 2023 · arXiv:2302.04752
18. DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
19. PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
20. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
21. Understanding Transformer Memorization Recall Through Idioms — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
22. 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
23. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs — 2022 · arXiv:2210.14986
24. azin-2026-do-language-models-know-theo
25. du-2026-it-s-not-what-you
26. han-2026-crossing-cross-scale-reasoning-evaluation
27. pan-2025-are-explicit-belief-representations-necessary
28. tseng-2025-lawtoken-single-token-worth-more
29. zhu-2024-lieder-linguistically-informed-evaluation-discourse

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