4 papers
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness
Mingchen Li, Zaifu Zhan, Han Yang +3
Large language models (LLM) have demonstrated remarkable capabilities in various biomedical natural language processing (NLP) tasks, leveraging the demonstration within the input c…
CancerLLM: A Large Language Model in Cancer Domain
Mingchen Li, Jiatan Huang, Jeremy Yeung +5
Medical Large Language Models (LLMs) have demonstrated impressive performance on a wide variety of medical NLP tasks; however, there still lacks a LLM specifically designed for phe…
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models
Mingchen Li, Chen Ling, Rui Zhang +1
Zero-shot link prediction (ZSLP) on knowledge graphs aims at automatically identifying relations between given entities. Existing methods primarily employ auxiliary information to…
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
Zaifu Zhan, Shuang Zhou, Mingchen Li +1
\textbf{Objective:} We aimed to develop an advanced multi-task large language model (LLM) framework to extract multiple types of information about dietary supplements (DS) from cli…