--- title: "Who cites Do Language Embeddings — 40 citing papers" description: "40 papers of the Elamur Research library cite «Do Language Embeddings capture Scales?», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/zhang-2020-do-language-embeddings-capture-scales/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2020-do-language-embeddings-capture-scales/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Do Language Embeddings capture Scales?](https://md.research.elamur.ai/free/en/papers/zhang-2020-do-language-embeddings-capture-scales/) / cited by # Who cites «Do Language Embeddings capture Scales?» 40 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Do Language Embeddings capture Scales?»](https://md.research.elamur.ai/free/en/papers/zhang-2020-do-language-embeddings-capture-scales/) 1. **[Survey of Hallucination in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,974 citations* 2. **[NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/mishra-2022-numglue-suite-fundamental-yet-challenging/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Swaroop Mishra, Arindam Mitra, Neeraj Varshney, et al.*2022 · 197 citations* 3. **[LILA: A Unified Benchmark for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/mishra-2022-lila-unified-benchmark-mathematical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Swaroop Mishra, Matthew Finlayson, Pan Lu, et al.*2022 · 179 citations* 4. **[Representing Numbers in NLP: a Survey and a Vision](https://md.research.elamur.ai/free/en/papers/thawani-2021-representing-numbers-nlp-survey-vision/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Avijit Thawani, Jay Pujara, Filip Ilievski, et al.*2021 · 139 citations* 5. **[MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data](https://md.research.elamur.ai/free/en/papers/zhao-2022-multihiertt-numerical-reasoning-over-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Yunxiang Li, Chenying Li, et al.*2022 · 128 citations* 6. **[SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images](https://md.research.elamur.ai/free/en/papers/tanaka-2023-slidevqa-dataset-document-visual-question/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, et al.*2023 · 116 citations* 7. [**Investigating the Limitations of Transformers with Simple Arithmetic Tasks arXiv:2102.13019**Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin*2021 · 96 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2021-investigating-limitations-transformers-simple-arithmetic/) 8. **[A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models](https://md.research.elamur.ai/free/en/papers/stolfo-2023-causal-framework-quantify-robustness-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.*2023 · 65 citations* 9. **[Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data](https://md.research.elamur.ai/free/en/papers/akhtar-2023-exploring-numerical-reasoning-capabilities-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.*2023 · 38 citations* 10. **[Evaluating Transformer Language Models on Arithmetic Operations Using Number Decomposition](https://md.research.elamur.ai/free/en/papers/muffo-2023-evaluating-transformer-language-models-arithmetic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matteo Muffo, Aldo Cocco, Enrico Bertino*2022 · 19 citations* 11. [**Understanding Finetuning for Factual Knowledge Extraction from Language Models arXiv:2301.11293**Mehran Kazemi, Sid Mittal, Deepak Ramachandran*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kazemi-2023-understanding-finetuning-factual-knowledge-extraction/) 29 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2020-do-language-embeddings-capture-scales/) — Do Language Embeddings capture Scales?