pith:KCWHBFU7
DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping
Mapping multi-dimensional demographics to values lets LLMs align with pluralistic preferences more tightly than national labels allow.
arxiv:2605.14420 v1 · 2026-05-14 · cs.AI
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Claims
Experimental results demonstrate that DVMap effectively learns the manifold mapping from demographics to values, exhibiting strong generalization and robustness. On cross-demographic tests, Qwen3-8B-DVMap achieves 48.6% accuracy, surpassing the advanced open-source LLM DeepSeek-v3.2 (45.1%).
That respondents with consistent value preferences under identical demographics form high-consensus groups whose preferences generalize reliably to unseen demographic combinations, countries, and value dimensions without introducing selection bias from the filtering process.
DVMap extracts high-consensus demographic groups from survey data and applies structured CoT plus GRPO to align LLMs with pluralistic values, reporting 48.6% accuracy on cross-demographic generalization tests.
References
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| First computed | 2026-05-17T23:39:07.259501Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50ac70969f3256aa33b6f9e67ed9ccd7a77775061ea916528042308045e2b7ea
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/KCWHBFU7GJLKUM5W7HTH5WOM26 \
| jq -c '.canonical_record' \
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Canonical record JSON
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