Joan C. Timoneda

The Synthetic Imputation Approach: Using LLMs to Generate Synthetic Texts for Underrepresented Categories in Supervised Classification Tasks

Abstract Annotated text data are central to many empirical applications in political science, yet many annotation tasks involve categories that are sparsely populated. These low- N categories pose problems for both encoder-only and decoder-only (generative) Transformer large language models (LLMs), leading to low perfo...