Tabular in-context learning (ICL) has recently achieved state-of-the-art (SOTA) performance on several tabular prediction tasks. Previously restricted to classification problems on small tables, ...

Traditional methods of multi-label text classification, particularly deep learning, have achieved remarkable results. However, most of these methods use word2vec technology to represent sequential ...

In this paper, we explore the application of a deep learning approach integrated with an attention mechanism for text classification, aiming to enhance the performance and robustness of complex text ...