--- title: "Who cites TABBIE: Pretrained Representations of Tabular Data" description: "63 papers of the Elamur Research library cite «TABBIE: Pretrained Representations of Tabular Data», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/iida-2021-tabbie-pretrained-representations-tabular-data/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/iida-2021-tabbie-pretrained-representations-tabular-data/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [TABBIE: Pretrained Representations of Tabular Data](https://md.research.elamur.ai/free/en/papers/iida-2021-tabbie-pretrained-representations-tabular-data/) / cited by # Who cites «TABBIE: Pretrained Representations of Tabular Data» 63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «TABBIE: Pretrained Representations of Tabular Data»](https://md.research.elamur.ai/free/en/papers/iida-2021-tabbie-pretrained-representations-tabular-data/) 1. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,056 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 406 citations* 61 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/iida-2021-tabbie-pretrained-representations-tabular-data/) — TABBIE: Pretrained Representations of Tabular Data