40 citations · 56 across the 26 of their papers we have counts for
6 papers · 1 filter
Measuring Spiritual Values and Bias of Large Language Models
Songyuan Liu, Ziyang Zhang, Runze Yan +3
Large language models (LLMs) have become integral tool for users from various backgrounds. LLMs, trained on vast corpora, reflect the linguistic and cultural nuances embedded in th…
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
Yuzhang Xie, Jiaying Lu, Joyce Ho +3
Linking (aligning) biomedical concepts across diverse data sources enables various integrative analyses, but it is challenging due to the discrepancies in concept naming convention…
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling
Shifan Zhao, Jiaying Lu, Ji Yang +2
Gaussian Process Regression (GPR) is widely used in statistics and machine learning for prediction tasks requiring uncertainty measures. Its efficacy depends on the appropriate spe…
LogicPrpBank: A Corpus for Logical Implication and Equivalence
Zhexiong Liu, Jing Zhang, Jiaying Lu +2
Logic reasoning has been critically needed in problem-solving and decision-making. Although Language Models (LMs) have demonstrated capabilities of handling multiple reasoning task…
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes
Darren Liu, Cheng Ding, Delgersuren Bold +16
The field of healthcare has increasingly turned its focus towards Large Language Models (LLMs) due to their remarkable performance. However, their performance in actual clinical ap…
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models
Guangji Bai, Zheng Chai, Chen Ling +11
The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated models like OpenAI's ChatGPT, represents a significant advancement in artificial intelligence. Th…