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arXiv cs.AI·

Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation

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In three linesPaper on multi-stakeholder LLM alignment. Holistic judges conflate utility estimation and aggregation, creating unstable weighting noise. DecompR decouples counterfactual-calibrated weights (fixed before candidate scoring) from independent per-role utility estimation, removing candidate-dependent weight drift and reducing estimation noise.
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