---
title: "Who cites \"I'd rather just go to bed\": Understanding…"
description: "The papers of the Elamur Research library that cite «\"I'd rather just go to bed\": Understanding Indirect Answers», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/louis-2020-i-d-rather-just-go/cited-by/"
---
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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.research.elamur.ai/free/en/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. [An Interdisciplinary Review of Commonsense Reasoning and Intent Detection](https://arxiv.org/abs/2506.14040) *— 2025 · arXiv:2506.14040*
5. [Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning](https://aclanthology.org/2025.acl-long.1573/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Developing Classifiers for Affirmative and Negative User Responses with Limited Target Domain Data for Dialogue System Development Tools](https://aclanthology.org/2025.iwsds-1.33/) *— 2025 · Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology*
7. [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)*
8. [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)*
9. [LawToken: a single token worth more than its constituents](https://aclanthology.org/2025.conll-1.3/) *— 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning*
10. [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*
11. [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*
12. [Addressing the Binning Problem in Calibration Assessment through Scalar Annotations](https://aclanthology.org/2024.tacl-1.7/) *— 2024 · Transactions of the Association for Computational Linguistics*
13. [Are LLMs good pragmatic speakers?](https://arxiv.org/abs/2411.01562) *— 2024 · arXiv:2411.01562*
14. [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)*
15. [Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains](https://aclanthology.org/2024.findings-naacl.136/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
16. [PUB: A Pragmatics Understanding Benchmark for Assessing LLMs” Pragmatics Capabilities](https://md.research.elamur.ai/free/en/papers/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
17. [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)*
18. [(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)*
19. [A Textual Dataset for Situated Proactive Response Selection](https://aclanthology.org/2023.acl-long.214/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [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)*
21. [Interpreting Answers to Yes-No Questions in User-Generated Content](https://aclanthology.org/2023.findings-emnlp.942/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
22. [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*
23. [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)*
24. [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)*
25. [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)*
26. [Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System](https://aclanthology.org/2022.sigdial-1.50/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
27. [Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning](https://aclanthology.org/2022.findings-emnlp.244/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
28. [Disentangling Indirect Answers to Yes-No Questions in Real Conversations](https://md.research.elamur.ai/free/en/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*
29. [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*
30. [N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models](https://aclanthology.org/2022.sigdial-1.60/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
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. [CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP](https://arxiv.org/abs/2104.08835) *— 2021 · arXiv:2104.08835*
33. [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*
34. [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*
35. [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*
36. [MetaICL: Learning to Learn In Context](https://arxiv.org/abs/2110.15943) *— 2021 · arXiv:2110.15943*
37. [“I”ll be there for you”: The One with Understanding Indirect Answers](https://md.research.elamur.ai/free/en/papers/damgaard-2021-i-ll-be-there-you/) *— our card · 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
38. [“It doesn”t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems](https://aclanthology.org/2021.emnlp-main.145/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*