persona-disagreement-steering-cultural-alignment TEC-0074 · proposedPersona-disagreement steering for cultural alignment
Prompt several demographically distinct personas grounded in a country's survey data, treat their agreement as already calibrated and their disagreement as the correction signal, and combine their answers to shift the base model's output to
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
Prompt several demographically distinct personas grounded in a country's survey data, treat their agreement as already calibrated and their disagreement as the correction signal, and combine their answers to shift the base model's output to Filed by the drafting stage from Training-Free Cultural Alignment of Large Language Models via Persona Disagreement (2605.10843) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Misalignment reduction on MultiTP across 20 countries and seven backbones against the unsteered base and against consensus-persona baselines; no fine-tuning comparison on the same models.. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
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Code
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Sources
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