23 citations · 46 across the 7 of their papers we have counts for
8 papers
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…
RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine
Jiatan Huang, Mingchen Li, Zonghai Yao +8
Answering complex real-world questions in the medical domain often requires accurate retrieval from medical Textual Knowledge Graphs (medical TKGs), as the relational path informat…
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…
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
Mingchen Li, Halil Kilicoglu, Hua Xu +1
Large Language Models (LLMs) have swiftly emerged as vital resources for different applications in the biomedical and healthcare domains; however, these models encounter issues suc…
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…
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…
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare
Ying Liu, Haozhu Wang, Huixue Zhou +6
Reinforcement learning (RL) has emerged as a powerful approach for tackling complex medical decision-making problems such as treatment planning, personalized medicine, and optimizi…
Benchingmaking Large Langage Models in Biomedical Triple Extraction
Mingchen Li, Huixue Zhou, Rui Zhang
Biomedical triple extraction systems aim to automatically extract biomedical entities and relations between entities. The exploration of applying large language models (LLM) to tri…