4 papers
Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks
Navya Mehrotra, Adam Visokay, Kristina Gligorić
Large language models are increasingly used to annotate texts, but their outputs reflect some human perspectives better than others. Existing methods for correcting LLM annotation…
Randomized Recruitment Driven Sampling
Adam Visokay, Laura Boudreau, Rachel M. Heath +1
Surveys are critical inputs for research and policy, yet, enumerating a sampling frame is logistically infeasible or financially nonviable in many circumstances, such as during pan…
From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives
Shuxian Fan, Adam Visokay, Kentaro Hoffman +4
In settings where most deaths occur outside the healthcare system, verbal autopsies (VAs) are a common tool to monitor trends in causes of death (COD). VAs are interviews with a su…
Respondent-Driven Sampling: An Overview in the Context of Human Trafficking
Jessica P. Kunke, Adam Visokay, Tyler H. McCormick
Respondent-driven sampling (RDS) is both a sampling strategy and an estimation method. It is commonly used to study individuals that are difficult to access with standard sampling…