SOURCE-LINKED INTELLIGENCE

Before You Poll with LLMs: A Deliberative Diagnostic Framework

arXiv · AI, language, vision and robotics · article · Sep 14, 2026 · UTC

Can LLMs reason through new information like humans, or do they merely retrieve cached opinions? This is critical for silicon sampling, where LLM personas simulate public opinion at scale. Current evaluations test only whether personas hold the right opinions -- a static snapshot. But opinion research increasingly depends on dynamic fidelity: whether personas update beliefs in response to new arguments, as humans do during deliberation. No existing benchmark tests this. We introduce the Deliberative Polling Diagnostic Framework, which compares human and LLM belief shifts after identical inform

Read original source ↗ Open in workspace

recordType

paper

region

Global