Haydar Tuna

Consensus Ensembles for Zero-Shot Algorithm Classification with Large Language Models

Findings support consensus-based ensembles of these five models as a scalable alternative to manual algorithmic annotation and provide actionable guidance for designing robust aggregation pipelines in unsupervised settings.