synthetic-discussion-generation

This paper introduces Synthetic Discussion Generation (SDG), a novel NLP framework for creating simulated discussions to enable cost-effective pilot experiments in social science research. The authors demonstrate that smaller quantized models (7B-8B parameters) can produce effective simulations at 44x lower cost than proprietary models like GPT, and apply this framework to evaluate LLM facilitators in online discussions.