Search Results for author:
Found 3 papers, 2 papers with code
LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education
This study explores the application of multi-modal large language models (MLLMs) in art appreciation education, focusing on developing LLaVA-Docent, a model that leverages these advancements.
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning
Graph Neural Networks (GNNs) have proven to be effective in processing and learning from graph-structured data.
Can Language Models be Biomedical Knowledge Bases?
To this end, we create the BioLAMA benchmark, which is comprised of 49K biomedical factual knowledge triples for probing biomedical LMs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
