Article
Size Matters(?): Utilizing Small LLMs for Annotation in Social Science
2025-11-26
Abstract excerpt
Annotation is often a time-intensive and costly aspect of social sciences research utilizing natural language data. Recent advances in large language models (LLM) and general pretrained transformers promise new methods for quick and easy annotation but often rely on commercial APIs or cloud services that introduce costs, limit researcher control, and raise concerns about privacy. Bias from training data introduces...
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Identifiers and source
- Literature Corpus work
- 5f82be1d-2cfc-5020-b699-8cec001ed1e4
- DOI
- 10.20944/preprints202511.2016.v1
