3 papers
cs.CL2025
MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering
Yingpeng Ning, Yuanyuan Sun, Ling Luo +3
Biomedical question answering (QA) requires accurate interpretation of complex medical knowledge. Large language models (LLMs) have shown promising capabilities in this domain, wit…
cs.CL2025
A Unified Biomedical Named Entity Recognition Framework with Large Language Models
Tengxiao Lv, Ling Luo, Juntao Li +9
Accurate recognition of biomedical named entities is critical for medical information extraction and knowledge discovery. However, existing methods often struggle with nested entit…
cs.CL2025
FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
Chao Liu, Ling Luo, Tengxiao Lv +4
With the rapid development of online medical platforms, consumer health questions (CHQs) are inefficient in diagnosis due to redundant information and frequent non-professional ter…