most citedMaking Pre-trained Language Models Great on Tabular Prediction

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cs.LG2024★ 1 cited

TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models

Ling Yue, Sixue Xing, Jintai Chen +1

Clinical trials need to recruit a sufficient number of volunteer patients to demonstrate the statistical power of the treatment (e.g., a new drug) in curing a certain disease. Clin…

cs.LG2024

Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs

Jiahuan Yan, Jintai Chen, Qianxing Wang +2

Tabular datasets play a crucial role in various applications. Thus, developing efficient, effective, and widely compatible prediction algorithms for tabular data is important. Curr…