---
title: "Who cites IMPLI: Investigating NLI Models' Performance on…"
description: "44 papers of the Elamur Research library cite «IMPLI: Investigating NLI Models' Performance on Figurative Language», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/stowe-2022-impli-investigating-nli-models-performance/cited-by/"
---
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# Who cites «IMPLI: Investigating NLI Models' Performance on Figurative Language»

44 papers of our library cite it (of the 140884 whose bibliographies we read) · 12 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/stowe-2022-impli-investigating-nli-models-performance/)

- [Can Large Language Models Transform Computational Social Science?](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/) — Caleb Ziems, William Held, Omar Shaikh, et al. · 2023 · 776 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
- [FLUTE: Figurative Language Understanding through Textual Explanations](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-flute-figurative-language-understanding-through/) — Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al. · 2022 · 131 citations
- [A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models](https://md.research.elamur.ai/free/en/papers/fornaciari-2024-hard-nut-crack-idiom-detection/) — Francesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios, et al. · 2024 · 22 citations
- [IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions](https://md.research.elamur.ai/free/en/papers/zeng-2023-iekg-commonsense-knowledge-graph-idiomatic/) — Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al. · 2023 · 11 citations
- [No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language Models](https://md.research.elamur.ai/free/en/papers/cheng-2024-no-context-needed-contextual-quandary/) — Kellen Tan Cheng, Suma Bhat · 2024 · 3 citations
- [ITUNLP at MWE-2026 AdMIRe 2: A Zero-Shot LLM Pipeline for Multimodal Idiom Understanding and Ranking](https://md.research.elamur.ai/free/en/papers/site-2026-itunlp-mwe-2026-admire-2/) — Atakan Site, Oğuz Ali Arslan, Gülşen Eryiğit · 2026 · 1 citation
- [SinFoS: A Parallel Dataset for Translating Sinhala Figures of Speech](https://md.research.elamur.ai/free/en/papers/sofalas-2026-sinfos-parallel-dataset-translating-sinhala/) — Johan Nevin Sofalas, Dilushri Pavithra, Nevidu Jayatilleke, et al. · 2026 · 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
- [Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb–Object Constructions](https://md.research.elamur.ai/free/en/papers/piccirilli-2026-floating-or-suggesting-ideas-large/) — Prisca Piccirilli, Alexander Fraser, Sabine Schulte im Walde · 2026
- [I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes](https://md.research.elamur.ai/free/en/papers/zhou-2026-i-came-i-saw-i/) — Shijia Zhou, Saif M. Mohammad, Barbara Plank, et al. · 2026
- [Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning](https://md.research.elamur.ai/free/en/papers/mi-2026-rethinking-idiomaticity-decomposability-hypothesis-evidence/) — Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al. · 2026

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