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20222026
most citedFact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation

3 citations · 5 across the 8 of their papers we have counts for

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cs.CL2026

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…

cs.CL2026

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…

cs.CL2024★ 3 cited

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…

cs.CL2024★ 1 cited

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance

Liwen Sun, Abhineet Agarwal, Aaron Kornblith +2

In the emergency department (ED), patients undergo triage and multiple laboratory tests before diagnosis. This time-consuming process causes ED crowding which impacts patient morta…

cs.CL2022

Few-shot Text Classification with Dual Contrastive Consistency

Liwen Sun, Jiawei Han

In this paper, we explore how to utilize pre-trained language model to perform few-shot text classification where only a few annotated examples are given for each class. Since usin…