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# Who cites «Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering»

37 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/kim-2021-which-linguist-invented-lightbulb-presupposition/)

1. [Contextualizing Toxicity: An Annotation Framework for Unveiling Pragmatics in Conversations of Online Discussion Forums](https://aclanthology.org/2026.lrec-1.314/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Don''t `Well, Actually'' Me Unless You Know What You''re Talking About: Weak Presupposition Verification Degrades General QA Performance](https://arxiv.org/abs/2608.06539) *— 2026 · arXiv:2608.06539*
3. [Thesis Proposal: Intentional Inference for Insight Generation](https://aclanthology.org/2026.acl-srw.109/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
4. [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)*
5. [Don''t Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning](https://arxiv.org/abs/2504.06438) *— 2025 · arXiv:2504.06438*
6. [If We May De-Presuppose: Robustly Verifying Claims through Presupposition-Free Question Decomposition](https://aclanthology.org/2025.starsem-1.20/) *— 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)*
7. [Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps](https://aclanthology.org/2025.emnlp-main.504/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
8. [NeoQA: Evidence-based Question Answering with Generated News Events](https://aclanthology.org/2025.findings-acl.616/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
9. [Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting](https://aclanthology.org/2024.naacl-long.299/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
10. [I Could''ve Asked That: Reformulating Unanswerable Questions](https://aclanthology.org/2024.emnlp-main.242/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
11. [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*
12. [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)*
13. [Who Did You Blame When Your Project Failed? Designing a Corpus for Presupposition Generation in Cross-Examination Dialogues](https://aclanthology.org/2024.lrec-main.1528/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
14. [(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)*
15. [Answering Unanswered Questions through Semantic Reformulations in Spoken QA](https://aclanthology.org/2023.acl-industry.70/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)*
16. [Bullshit, Pragmatic Deception, and Natural Language Processing](https://aclanthology.org/2023.dnd-14.5/) *— 2023*
17. [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)*
18. [DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering](https://aclanthology.org/2023.acl-long.559/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [EpiK-Eval: Evaluation for Language Models as Epistemic Models](https://aclanthology.org/2023.emnlp-main.593/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
20. [How Language Model Hallucinations Can Snowball](https://arxiv.org/abs/2305.13534) *— 2023 · arXiv:2305.13534*
21. [How Well Do Large Language Models Perform on Faux Pas Tests?](https://aclanthology.org/2023.findings-acl.663/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
22. [Large Language Model Programs](https://arxiv.org/abs/2305.05364) *— 2023 · arXiv:2305.05364*
23. [PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering](https://md.mova.elamur.ai/free/en/docs/papers/han-2023-prewome-exploiting-presuppositions-as-working/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
24. [SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples](https://aclanthology.org/2023.emnlp-main.485/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
25. [Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models](https://aclanthology.org/2023.findings-eacl.150/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
26. [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*
27. [Won''t Get Fooled Again: Answering Questions with False Premises](https://aclanthology.org/2023.acl-long.309/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [FaVIQ: FAct Verification from Information-seeking Questions](https://aclanthology.org/2022.acl-long.354/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Few-Shot Self-Rationalization with Natural Language Prompts](https://aclanthology.org/2022.findings-naacl.31/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
30. [How Do We Answer Complex Questions: Discourse Structure of Long-form Answers](https://aclanthology.org/2022.acl-long.249/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://arxiv.org/abs/2210.14986) *— 2022 · arXiv:2210.14986*
32. [Can NLI Models Verify QA Systems' Predictions?](https://aclanthology.org/2021.findings-emnlp.324/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
33. [Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval](https://aclanthology.org/2021.acl-long.118/) *— 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)*
34. [SituatedQA: Incorporating Extra-Linguistic Contexts into QA](https://aclanthology.org/2021.emnlp-main.586/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
35. keh-2024-asking-more-informative-questions-grounded
36. srikanth-2025-no-questions-are-stupid-but
37. zhu-2024-lieder-linguistically-informed-evaluation-discourse
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