Training-Free Cultural Alignment of Large Language Models via Persona Disagreement

In three linesDISCA, a training-free inference-time method, culturally aligns LLMs using World-Values-Survey-grounded persona agents. Tested across 20 countries and 7 backbones (2B–70B), it reduces cultural misalignment by 10–24% on MultiTP without weight modification.

Summary generated by Claude — human-verified