---
title: "Who cites A fine-grained comparison of pragmatic language…"
description: "80 papers of the Elamur Research library cite «A fine-grained comparison of pragmatic language understanding in humans and language models», found in…"
canonical: "https://research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A fine-grained comparison of pragmatic language…](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/) / cited by

# Who cites «A fine-grained comparison of pragmatic language understanding in humans and language models»

80 papers of our library cite it (of the 140884 whose bibliographies we read) · 15 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/)

- [How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection](https://md.research.elamur.ai/free/en/papers/guo-2023-close-chatgpt-human-experts-comparison/) — Biyang Guo, Xin Zhang, Ziyuan Wang, et al. · 2023 · 549 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 Language Grounding: Phenomena, Tasks, and Modeling Approaches](https://md.research.elamur.ai/free/en/papers/fried-2023-pragmatics-language-grounding-phenomena-tasks/) — Daniel Fried, Nicholas Tomlin, Jennifer Hu, et al. · 2023 · 36 citations
- [Evaluating statistical language models as pragmatic reasoners](https://md.research.elamur.ai/free/en/papers/lipkin-2023-evaluating-statistical-language-models-pragmatic/) — Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al. · 2023 · 18 citations
- [Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning](https://md.research.elamur.ai/free/en/papers/wu-2024-rethinking-pragmatics-large-language-models/) — Shengguang Wu, Shusheng Yang, Zhenglun Chen, et al. · 2024 · 16 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
- [When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle](https://md.research.elamur.ai/free/en/papers/sieker-2023-when-your-language-model-cannot/) — Judith Sieker, Sina Zarrieß · 2023 · 9 citations
- [Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability](https://md.research.elamur.ai/free/en/papers/duan-2025-unveiling-language-competence-neurons-psycholinguistic/) — Xufeng Duan, Xinyu Zhou, Bei Xiao, et al. · 2025 · 8 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
- [Comparing human and LLM politeness strategies in free production](https://md.research.elamur.ai/free/en/papers/zhao-2025-comparing-human-llm-politeness-strategies/) — Haoran Zhao, Robert D. Hawkins · 2025 · 6 citations
- [Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language](https://md.research.elamur.ai/free/en/papers/chen-2025-pragmatic-inference-chain-pic-improving/) — Xi Chen, Shuo Wang · 2025 · 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
- [Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering](https://md.research.elamur.ai/free/en/papers/tsvilodub-2025-integrating-neural-symbolic-components-model/) — Polina Tsvilodub, Robert D. Hawkins, Michael Franke · 2025 · 1 citation
- [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
- [Teaching LLMs to unveil tendentious implicit contents of Italian political communication](https://md.research.elamur.ai/free/en/papers/paci-2026-teaching-llms-unveil-tendentious-implicit/) — Walter Paci, Lorenzo Gregori, Alessandro Panunzi · 2026

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