40 citations · 42 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 2 cited
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
Nicholas Pangakis, Samuel Wolken
Computational social science (CSS) practitioners often rely on human-labeled data to fine-tune supervised text classifiers. We assess the potential for researchers to augment or re…
cs.CL2023★ 40 cited
Automated Annotation with Generative AI Requires Validation
Nicholas Pangakis, Samuel Wolken, Neil Fasching
Generative large language models (LLMs) can be a powerful tool for augmenting text annotation procedures, but their performance varies across annotation tasks due to prompt quality…