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. An Interdisciplinary Review of Commonsense Reasoning and Intent Detection — 2025 · arXiv:2506.14040
5. Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning — 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 — 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 — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
8. 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)
9. LawToken: a single token worth more than its constituents — 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning
10. On the Dangers of Naïve Replication: The Case of Implicature — 2025 · Proceedings of the Society for Computation in Linguistics 2025
11. Understand the Implication: Learning to Think for Pragmatic Understanding — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
12. Addressing the Binning Problem in Calibration Assessment through Scalar Annotations — 2024 · Transactions of the Association for Computational Linguistics
13. Are LLMs good pragmatic speakers? — 2024 · arXiv:2411.01562
14. 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)
15. Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
16. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs'' Pragmatics Capabilities — 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 — 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 — 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 — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
22. Interpreting Indirect Answers to Yes-No Questions in Multiple Languages — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
23. 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)
24. Pre-Training to Learn in Context — 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 — 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 — 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 — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
28. 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
29. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
30. N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models — 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 — 2022 · arXiv:2210.14986
32. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
33. DIRECT: Direct and Indirect Responses in Conversational Text Corpus — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
34. Investigating Robustness of Dialog Models to Popular Figurative Language Constructs — 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 — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
36. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
37. ``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
38. ``It doesn''t look good for a date'''': Transforming Critiques into Preferences for Conversational Recommendation Systems — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing