12 citations · 12 across the 11 of their papers we have counts for
5 papers · 1 filter
scReader: Prompting Large Language Models to Interpret scRNA-seq Data
Cong Li, Qingqing Long, Yuanchun Zhou +1
Large language models (LLMs) have demonstrated remarkable advancements, primarily due to their capabilities in modeling the hidden relationships within text sequences. This innovat…
GeneSUM: Large Language Model-based Gene Summary Extraction
Zhijian Chen, Chuan Hu, Min Wu +4
Emerging topics in biomedical research are continuously expanding, providing a wealth of information about genes and their function. This rapid proliferation of knowledge presents…
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long, Yuchen Yan, Peiyan Zhang +12
Large-scale "pre-train and prompt learning" paradigms have demonstrated remarkable adaptability, enabling broad applications across diverse domains such as question answering, imag…
BioRAG: A RAG-LLM Framework for Biological Question Reasoning
Chengrui Wang, Qingqing Long, Meng Xiao +5
The question-answering system for Life science research, which is characterized by the rapid pace of discovery, evolving insights, and complex interactions among knowledge entities…
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
Guojiao Lin, Zhen Meng, Dongjie Wang +3
Multimodal recommendation systems (MMRS) have received considerable attention from the research community due to their ability to jointly utilize information from user behavior and…