--- title: "Who cites Testing the Ability of Language — 71 citing papers" description: "71 papers of the Elamur Research library cite «Testing the Ability of Language Models to Interpret Figurative Language», found in their…" canonical: "https://research.elamur.ai/free/en/papers/liu-2022-testing-ability-language-models-interpret/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/liu-2022-testing-ability-language-models-interpret/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Testing the Ability of Language Models to…](https://md.research.elamur.ai/free/en/papers/liu-2022-testing-ability-language-models-interpret/) / cited by # Who cites «Testing the Ability of Language Models to Interpret Figurative Language» 71 papers of our library cite it (of the 141,840 whose bibliographies we read) · 15 with a page here, the most cited first · [← back to «Testing the Ability of Language Models to Interpret Figurative Language»](https://md.research.elamur.ai/free/en/papers/liu-2022-testing-ability-language-models-interpret/) 1. [**Leveraging Large Language Models for Multiple Choice Question Answering arXiv:2210.12353**Joshua Robinson, Christopher Michael Rytting, David Wingate*2022 · 157 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2022-leveraging-large-language-models-multiple/) 2. [**A fine-grained comparison of pragmatic language understanding in humans and language models**Jennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/) 3. **[FLUTE: Figurative Language Understanding through Textual Explanations](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-flute-figurative-language-understanding-through/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.*2022 · 132 citations* 4. **[Survey of Cultural Awareness in Language Models: Text and Beyond](https://md.research.elamur.ai/free/en/papers/pawar-2025-survey-cultural-awareness-language-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Siddhesh Pawar, Junyeong Park, Jiho Jin, et al.*2025 · 104 citations* 5. [**PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities**Settaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.*2024 · 75 citations*](https://md.research.elamur.ai/free/en/papers/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/) 6. **[Metaphor Understanding Challenge Dataset for LLMs](https://md.research.elamur.ai/free/en/papers/tong-2024-metaphor-understanding-challenge-dataset-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.*2024 · 47 citations* 7. **[Semantics of Multiword Expressions in Transformer-Based Models: A Survey](https://md.research.elamur.ai/free/en/papers/miletic-2024-semantics-multiword-expressions-transformer-based/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Filip Miletić, Sabine Schulte im Walde*2024 · 20 citations* 8. [**A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives**Qingcheng Zeng, An-Ran Li*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-survey-automatic-irony-processing-linguistic/) 9. **[Semantic Change Characterization with LLMs using Rhetorics](https://md.research.elamur.ai/free/en/papers/sa-2026-semantic-change-characterization-llms-rhetorics/) [Proceedings for the International Workshop on Computational Approaches to Language Change](https://md.research.elamur.ai/free/en/venues/lchange/)**Jáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, et al.*2026 · 3 citations* 10. **[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/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kellen Tan Cheng, Suma Bhat*2024 · 3 citations* 11. [**Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation arXiv:2508.18709**Duy Le, Kent Ziti, Evan Girard-Sun, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/le-2025-adaptive-originality-filtering-rejection-based/) 12. **[Creation and Validation of a Monolingual Spanish NLI Dataset for Metaphor Interpretation via Model-in-the-Loop](https://md.research.elamur.ai/free/en/papers/montero-2026-creation-validation-monolingual-spanish-nli/) [Learning Non-Literal Expressions with Small Data @ LREC](https://md.research.elamur.ai/free/en/venues/nonliteral/)**Alec Sanchez-Montero, Gemma Bel-Enguix, Sergio Luis Ojeda Trueba*2026* 13. **[DAMETA: An LLM Benchmark for Danish Metaphor Interpretation with Systematically Varied Distractors](https://md.research.elamur.ai/free/en/papers/schneidermann-2026-dameta-llm-benchmark-danish-metaphor/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nina Skovgaard Schneidermann, Sanni Nimb, Nathalie Carmen Hau Norman, et al.*2026* 14. [**Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning arXiv:2608.18361**Mena Attia, Mona Diab, Thamar Solorio*2026*](https://md.research.elamur.ai/free/en/papers/attia-2026-figurative-cultural-knowledge-llms-investigating/) 15. **[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/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shijia Zhou, Saif M. Mohammad, Barbara Plank, et al.*2026* 56 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/liu-2022-testing-ability-language-models-interpret/) — Testing the Ability of Language Models to Interpret Figurative Language