DARC is a retraining-free inference-time method that frames response selection as distributionally robust optimization to reduce disagreement and tail risk under heterogeneous preferences.
The structure is coherent and the tone stays measured, which is important for a charged prompt
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DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
DARC is a retraining-free inference-time method that frames response selection as distributionally robust optimization to reduce disagreement and tail risk under heterogeneous preferences.