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Tabular data powers critical decisions across domains such as healthcare, finance, e-commerce, and the sciences. The machine learning methods traditionally used for tabular data, however —...
In recent years, deep neural networks have been responsible for most top-performing AI systems. In particular, natural-language processing (NLP) applications are generally built atop Transformer-based language...
Question-answering (QA) models sometimes need to retrieve information from tables, which use an entirely different set of semantic cues than free-form text. Historically, most work on...
On November 10, at the fourth Fact Extraction and Verification workshop (FEVER), we will be announcing the winners of the third fact verification challenge in the...
In July, AI scientists from around the globe gathered in virtual attendance for the 37th annual International Conference on Machine Learning (ICML). Co-located with the conference...