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Anamnesis is an open-source platform for large-scale backstory-conditioned survey simulation using LLMs, enabling demographically controllable virtual surveys. It outperforms standard persona-prompting in replicating real-world survey distributions.
A reproducible pipeline converts public Zoom recordings into speaker-attributed transcripts enriched with personas, topics, and action tags, then fine-tunes LLM personas on this data. Action-aware fine-tuning significantly improves persona fidelity, consistency, and deliberative responsiveness, enabling realistic civic deliberation simulations.