2 citations · 2 across the 1 of their papers we have counts for
3 papers
Knowing When to Ask -- Bridging Large Language Models and Data
Prashanth Radhakrishnan, Jennifer Chen, Bo Xu +5
Large Language Models (LLMs) are prone to generating factually incorrect information when responding to queries that involve numerical and statistical data or other timely facts. I…
Data Commons
Ramanathan V. Guha, Prashanth Radhakrishnan, Bo Xu +10
Publicly available data from open sources (e.g., United States Census Bureau (Census), World Health Organization (WHO), Intergovernmental Panel on Climate Change (IPCC)) are vital…
Machine-learned epidemiology: real-time detection of foodborne illness at scale
Adam Sadilek, Stephanie Caty, Lauren DiPrete +6
Machine learning has become an increasingly powerful tool for solving complex problems, and its application in public health has been underutilized. The objective of this study is…