TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
Clinical trials are indispensable for medical research and the development of new
treatments. However, clinical trials often involve thousands of participants and can span …
treatments. However, clinical trials often involve thousands of participants and can span …
A survey on self-supervised learning for non-sequential tabular data
Self-supervised learning (SSL) has been incorporated into many state-of-the-art models in
various domains, where SSL defines pretext tasks based on unlabeled datasets to learn …
various domains, where SSL defines pretext tasks based on unlabeled datasets to learn …
Excelformer: A neural network surpassing gbdts on tabular data
Quantifying prediction consistency under model multiplicity in tabular llms
Fine-tuning large language models (LLMs) on limited tabular data for classification tasks can
lead to\textit {fine-tuning multiplicity}, where equally well-performing models make conflicting …
lead to\textit {fine-tuning multiplicity}, where equally well-performing models make conflicting …