Evidence-based Distributional Alignment for Large Language Models

ArXi:2603.13305v1 Announce Type: cross Distributional alignment enables large language models (LLMs) to predict how a target population distributes its responses across answer options, rather than collapsing disagreement into a single consensus answer. However, existing LLM-based distribution prediction is often unstable and degrades under cultural and domain shift.