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20232026
most citedTWIN-GPT: Digital Twins for Clinical Trials via Large Language Model

9 citations · 13 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.SP2024★ 1 cited

AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings

Yue Wang, Xu Cao, Yaojun Hu +7

Electrocardiogram (ECG), a non-invasive and affordable tool for cardiac monitoring, is highly sensitive in detecting acute heart attacks. However, due to the lengthy nature of ECG…

cs.LG2024★ 9 cited

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model

Yue Wang, Tianfan Fu, Yinlong Xu +6

Clinical trials are indispensable for medical research and the development of new treatments. However, clinical trials often involve thousands of participants and can span several…

cs.CL2024★ 2 cited

Making Pre-trained Language Models Great on Tabular Prediction

Jiahuan Yan, Bo Zheng, Hongxia Xu +5

The transferability of deep neural networks (DNNs) has made significant progress in image and language processing. However, due to the heterogeneity among tables, such DNN bonus is…

cs.CL2024

Small Models are LLM Knowledge Triggers on Medical Tabular Prediction

Jiahuan Yan, Jintai Chen, Chaowen Hu +4

Recent development in large language models (LLMs) has demonstrated impressive domain proficiency on unstructured textual or multi-modal tasks. However, despite with intrinsic worl…

cs.CL2024

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications

Weize Liu, Yinlong Xu, Hongxia Xu +3

Recently, large language models (LLMs) have achieved tremendous breakthroughs in the field of NLP, but still lack understanding of their internal neuron activities when processing…