2 citations · 2 across the 1 of their papers we have counts for
6 papers
Multi-rater Prompting for Ambiguous Medical Image Segmentation
Jinhong Wang, Yi Cheng, Jintai Chen +3
Multi-rater annotations commonly occur when medical images are independently annotated by multiple experts (raters). In this paper, we tackle two challenges arisen in multi-rater a…
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…
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…
Generative AI for Controllable Protein Sequence Design: A Survey
Yiheng Zhu, Zitai Kong, Jialu Wu +6
The design of novel protein sequences with targeted functionalities underpins a central theme in protein engineering, impacting diverse fields such as drug discovery and enzymatic…
Multimodal Clinical Trial Outcome Prediction with Large Language Models
Wenhao Zheng, Liaoyaqi Wang, Dongshen Peng +5
The clinical trial is a pivotal and costly process, often spanning multiple years and requiring substantial financial resources. Therefore, the development of clinical trial outcom…
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models
Weize Liu, Guocong Li, Kai Zhang +6
Large language models (LLMs) have achieved remarkable advancements in natural language processing. However, the massive scale and computational demands of these models present form…