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# Who cites «"I'd rather just go to bed": Understanding Indirect Answers»

38 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/louis-2020-i-d-rather-just-go/)

1. [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)*
2. [Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation](https://arxiv.org/abs/2607.25094) *— 2026 · arXiv:2607.25094*
3. [Steering Pragmatic Interpretation in LLMs: A Diagnostic Evaluation of Few-Shot and Reasoning-Based Prompting for Indirect Speech Acts.](https://aclanthology.org/2026.nonliteral-1.2/) *— 2026 · Proceedings of Learning Non-Literal Expressions with Small Data @ LREC 2026*
4. [Direct and Indirect Interpretations of Speech Acts: Evidence from Human Judgments and Large Language Models](https://aclanthology.org/2025.clicit-1.79/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
5. [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)*
6. [On the Dangers of Naïve Replication: The Case of Implicature](https://aclanthology.org/2025.scil-1.17/) *— 2025 · Proceedings of the Society for Computation in Linguistics 2025*
7. [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*
8. [Are LLMs good pragmatic speakers?](https://arxiv.org/abs/2411.01562) *— 2024 · arXiv:2411.01562*
9. [IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish](https://aclanthology.org/2024.lrec-main.791/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
10. [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*
11. [tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework](https://aclanthology.org/2024.lrec-main.1361/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
12. [(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)*
13. [Few-shot Adaptation Works with UnpredicTable Data](https://aclanthology.org/2023.acl-long.102/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Interpreting Indirect Answers to Yes-No Questions in Multiple Languages](https://aclanthology.org/2023.findings-emnlp.146/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
15. [Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?](https://aclanthology.org/2023.acl-long.659/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Pre-Training to Learn in Context](https://aclanthology.org/2023.acl-long.267/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Resolving Indirect Referring Expressions for Entity Selection](https://aclanthology.org/2023.acl-long.688/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Disentangling Indirect Answers to Yes-No Questions in Real Conversations](https://md.mova.elamur.ai/free/en/docs/papers/sanagavarapu-2022-disentangling-indirect-answers-yes-no/) *— our card · 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
19. [Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts](https://aclanthology.org/2022.findings-emnlp.189/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
20. [The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://arxiv.org/abs/2210.14986) *— 2022 · arXiv:2210.14986*
21. [CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP](https://arxiv.org/abs/2104.08835) *— 2021 · arXiv:2104.08835*
22. [DIRECT: Direct and Indirect Responses in Conversational Text Corpus](https://aclanthology.org/2021.findings-emnlp.170/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
23. [Investigating Robustness of Dialog Models to Popular Figurative Language Constructs](https://aclanthology.org/2021.emnlp-main.592/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
24. [Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning](https://aclanthology.org/2021.findings-emnlp.62/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
25. [MetaICL: Learning to Learn In Context](https://arxiv.org/abs/2110.15943) *— 2021 · arXiv:2110.15943*
26. [``I''ll be there for you'''': The One with Understanding Indirect Answers](https://md.mova.elamur.ai/free/en/docs/papers/damgaard-2021-i-ll-be-there-you/) *— our card · 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
27. bursztyn-2021-it-doesn-t-look-good
28. jiang-2024-addressing-binning-problem-calibration-assessment
29. kubo-2025-developing-classifiers-affirmative-negative-user
30. mathur-2023-interpreting-answers-yes-no-questions
31. otani-2023-textual-dataset-situated-proactive-response
32. qin-2025-beyond-output-matching-bidirectional-alignment
33. sakib-2025-interdisciplinary-review-commonsense-reasoning-intent
34. sato-2022-n-best-response-based-analysis
35. stoyanchev-2022-combining-structured-unstructured-knowledge-interactive
36. tseng-2025-lawtoken-single-token-worth-more
37. wang-2024-interpreting-answers-yes-no-questions
38. yi-2022-different-tunes-played-equal-skill
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