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

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. Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation — 2026 · arXiv:2607.25094
3. Steering Pragmatic Interpretation in LLMs: A Diagnostic Evaluation of Few-Shot and Reasoning-Based Prompting for Indirect Speech Acts. — 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 — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
5. Entailed Between the Lines: Incorporating Implication into NLI — 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 — 2025 · Proceedings of the Society for Computation in Linguistics 2025
7. Understand the Implication: Learning to Think for Pragmatic Understanding — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
8. Are LLMs good pragmatic speakers? — 2024 · arXiv:2411.01562
9. IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish — 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 — 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 — 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 — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
15. Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
16. Pre-Training to Learn in Context — 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 — 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 — 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 — 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 — 2022 · arXiv:2210.14986
21. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
22. DIRECT: Direct and Indirect Responses in Conversational Text Corpus — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
23. Investigating Robustness of Dialog Models to Popular Figurative Language Constructs — 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 — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
25. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
26. ``I''ll be there for you'''': The One with Understanding Indirect Answers — 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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