9 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
Guangzeng Han, Weisi Liu, Xiaolei Huang
Large Language Models (LLMs) excel at generating synthetic data, but ensuring its quality and diversity remains challenging. We propose Genetic Prompt, a novel framework that combi…
A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives
Hanshu Rao, Weisi Liu, Haohan Wang +3
Synthetic data generation using large language models (LLMs) demonstrates substantial promise in addressing biomedical data challenges and shows increasing adoption in biomedical r…
Cultivating Multidisciplinary AI Workforce Development on iTiger GPU Cluster: Practices and Challenges
Mayira Sharif, Guangzeng Han, Weisi Liu +1
To support rapid AI advances and broaden access to large-scale computing resources for under-resourced institutions at the Mid-South, we established the first regional mid-scale GP…
Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts
Weisi Liu, Guangzeng Han, Xiaolei Huang
Time is implicitly embedded in classification process: classifiers are usually built on existing data while to be applied on future data whose distributions (e.g., label and token)…