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Social Science Computer Review· 2026Q1

Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research

Marcello Carammia, Stefano M. Iacus, Giuseppe Porro

Short summary

Fine-tuned open-source LLMs, such as Llama2-7B, achieve performance comparable to large closed-source models like GPT-4 on social science text classification tasks, making them a reproducible and low-cost alternative for large-scale research.

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Field: Information Systems

Information SystemsComputer Science