--- title: "Who cites Are Natural Language Inference Models…" description: "86 papers of the Elamur Research library cite «Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition», found in…" canonical: "https://research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Are Natural Language Inference Models…](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/) / cited by # Who cites «Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition» 86 papers of our library cite it (of the 140884 whose bibliographies we read) · 24 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/) - [Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/) — Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al. · 2022 · 1 695 citations - [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 - [CREPE: Open-Domain Question Answering with False Presuppositions](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/) — Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al. · 2023 · 67 citations - [Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/) — Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al. · 2021 · 63 citations - [Temporal Reasoning in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/) — Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al. · 2020 · 57 citations - [Harnessing the linguistic signal to predict scalar inferences](https://md.research.elamur.ai/free/en/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/) — Sebastian Schuster, Yuxing Chen, Judith Degen · 2020 · 54 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 - [NOPE: A Corpus of Naturally-Occurring Presuppositions in English](https://md.research.elamur.ai/free/en/papers/parrish-2021-nope-corpus-naturally-occurring-presuppositions/) — Alicia Parrish, Sebastian Schuster, Alex Warstadt, et al. · 2021 · 40 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 - [GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning](https://md.research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/) — Zilong Zheng, Shuwen Qiu, Lifeng Fan, et al. · 2021 · 36 citations - [Context Matters: A Pragmatic Study of PLMs' Negation Understanding](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-context-matters-pragmatic-study-plms/) — Reto Gubelmann, Siegfried Handschuh · 2022 · 28 citations - [Expectations over Unspoken Alternatives Predict Pragmatic Inferences](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/) — Jennifer Hu, Roger Levy, Judith Degen, et al. · 2023 · 27 citations - [He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics](https://md.research.elamur.ai/free/en/papers/jiang-2021-he-thinks-he-knows-better/) — Nanjiang Jiang, Marie-Catherine de Marneffe · 2021 · 21 citations - [Pragmatic inference of scalar implicature by LLMs](https://md.research.elamur.ai/free/en/papers/cho-2024-pragmatic-inference-scalar-implicature-llms/) — Ye-eun Cho, Seong mook Kim · 2024 · 16 citations - [Predicting scalar inferences from "or" to "not both" using neural sentence encoders](https://md.research.elamur.ai/free/en/papers/li-2021-predicting-scalar-inferences-or-not/) — Elissa Li, Sebastian Schuster, Judith Degen · 2021 · 15 citations - [Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences](https://md.research.elamur.ai/free/en/papers/kabbara-2022-investigating-performance-transformer-based-nli/) — Jad Kabbara, Jackie Chi Kit Cheung · 2022 · 12 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 - [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 - [Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders](https://md.research.elamur.ai/free/en/papers/zhang-2024-can-your-model-tell-negation/) — Yuwei Zhang, Siffi Singh, Sailik Sengupta, et al. · 2024 · 4 citations - [Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit Meaning](https://md.research.elamur.ai/free/en/papers/zeidler-2026-can-you-be-more-explicit/) — Laura Zeidler, Michael Roth · 2026 - [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 - [POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio Discourse](https://md.research.elamur.ai/free/en/papers/ziembicki-2026-polar-corpus-questions-responses-argumentation/) — Daniel Ziembicki, Aleksandra Zwierzchowska, Ewelina Sobol, et al. · 2026 62 more papers of our library cite it; they have no page here yet.