🔗 Who cites «Understanding tables with intermediate pre-training»

72 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Understanding tables with intermediate pre-training»

1. ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 745 citations
2. A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
3. TAPEX: Table Pre-training via Learning a Neural SQL ExecutorQian Liu, Bei Chen, Jiaqi Guo, et al.2021 · 254 citations
4. Large Language Models are few(1)-shot Table ReasonersWenhu Chen2023 · 182 citations
5. Binding Language Models in Symbolic LanguagesZhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022 · 167 citations
6. Open Domain Question Answering over Tables via Dense RetrievalJonathan Herzig, Thomas Müller, Syrine Krichene, et al.2021 · 133 citations
7. MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual DataYilun Zhao, Yunxiang Li, Chenying Li, et al.2022 · 128 citations
8. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations

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

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