5 papers
FaithMed: Training LLMs For Faithful Evidence-Based Medical Reasoning
Zhiyun Zhang, Liwen Sun, Xiang Qian +1
Faithful reasoning is essential in medicine, where clinical decisions require transparent justification grounded in reliable evidence. Current medical LLMs either lack active acces…
Native Hierarchical and Compositional Representations with Subspace Embeddings
Gabriel Moreira, Zita Marinho, Manuel Marques +2
Traditional embeddings represent datapoints as vectors, which makes similarity easy to compute but limits how well they capture hierarchies and compositionality. We propose a funda…
Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation
Liwen Sun, Xiang Yu, Ming Tan +4
Clinical diagnosis is time-consuming, requiring intensive interactions between patients and medical professionals. While large language models (LLMs) could ease the pre-diagnostic…
Intercept Cancer: Cancer Pre-Screening with Large Scale Healthcare Foundation Models
Liwen Sun, Hao-Ren Yao, Gary Gao +2
Cancer screening, leading to early detection, saves lives. Unfortunately, existing screening techniques require expensive and intrusive medical procedures, not globally available,…
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation
Liwen Sun, James Zhao, Megan Han +1
Multimodal foundation models hold significant potential for automating radiology report generation, thereby assisting clinicians in diagnosing cardiac diseases. However, generated…