2025
Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction
Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Pati{\~n}o, Ananya Joshi, Ruiqi Lyu, Jingjing Tang +4
EMNLP 2025
Recent work has investigated the capabilities of large language models (LLMs) as zero-shot models for generating individual-level characteristics (e.g., to serve as risk models or augment survey datasets). However, when should a user have confidence that an LLM will provide high-quality predictions