---
title: "Who cites GRICE: A Grammar-based Dataset for Recovering…"
description: "24 papers of the Elamur Research library cite «GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [GRICE: A Grammar-based Dataset for Recovering…](https://md.research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/) / cited by

# Who cites «GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning»

24 papers of our library cite it (of the 140884 whose bibliographies we read) · 11 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/)

- [A fine-grained comparison of pragmatic language understanding in humans and language models](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/) — Jennifer Hu, Sammy Floyd, Olessia Jouravlev, et al. · 2023 · 136 citations
- [The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/) — Laura Ruis, Akbir Khan, Stella Biderman, et al. · 2022 · 86 citations
- [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/) — Settaluri Sravanthi, Meet Doshi, Pavan Tankala, et al. · 2024 · 75 citations
- [Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges](https://md.research.elamur.ai/free/en/papers/ma-2025-pragmatics-era-large-language-models/) — Bolei Ma, Yuting Li, Wei Zhou, et al. · 2025 · 49 citations
- [Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom](https://md.research.elamur.ai/free/en/papers/yue-2024-do-large-language-models-understand/) — Shisen Yue, Siyuan Song, Xinyuan Cheng, et al. · 2024 · 11 citations
- [Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering](https://md.research.elamur.ai/free/en/papers/srikanth-2024-pregnant-questions-importance-pragmatic-awareness/) — Neha Srikanth, Rupak Sarkar, Heran Mane, et al. · 2024 · 11 citations
- [The Gricean Maxims in NLP — A Survey](https://md.research.elamur.ai/free/en/papers/krause-2024-gricean-maxims-nlp-survey/) — Lea Krause, Piek T.J.M. Vossen · 2024 · 10 citations
- [SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/) — Rashid Nizamani, Sebastian Schuster, Vera Demberg · 2024 · 8 citations
- ["Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures](https://md.research.elamur.ai/free/en/papers/kim-2023-pope-catholic-applying-chain-thought/) — Zae Myung Kim, David E. Taylor, Dongyeop Kang · 2023 · 6 citations
- [Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/) — Raha Askari, Sina Zarrieß, Özge Alacam, et al. · 2025 · 4 citations
- [DRInQ: Evaluating Conversational Implicature with Controlled Context Variation](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/) — Hirona Jacqueline Arai, Xiang Ren · 2026

13 more papers of our library cite it; they have no page here yet.