Digital Pantheon

Digital Pantheon: Multi-agent LLM framework simulates and audits political coalition formation

Researchers present a multi-agent framework using SFT, DPO, and RAG to simulate partisan political negotiation with LLM agents, applied to the 2019 Flemish regional election. DPO is used to overcome RLHF neutrality biases and instill stable party-specific personas, while per-party RAG pipelines ground each agent in official party manifestos. The framework introduces MILT (Multi-Layered Information Lineage Topology) and a Coalition Influence Score to trace negotiation outcomes back to source documents and benchmark them against the historically adopted coalition agreement. Across three simulations, the framework produces stable rankings and finds that manifesto-anchored content reliably predicts real-world policy materialization while hallucinated content does not.